{
  "schemaVersion": "deck-intelligence.v1",
  "id": "019de50f-b45b-758c-ae28-b329ce7bd428",
  "slug": "8c3da2ef39d23af71506247c43b24336",
  "title": "NVIDIA | Investor Presentation Deck | 24 slides",
  "subtitle": "NVIDIA · 2020-05",
  "author": "NVIDIA",
  "date": "2020-05-01 00:00:00",
  "pageCount": 24,
  "kind": "conference-presentation",
  "orientation": "landscape",
  "aspectRatio": 2.4870467,
  "document": {
    "id": "019de50f-b45b-758c-ae28-b329ce7bd428",
    "slug": "8c3da2ef39d23af71506247c43b24336",
    "title": "NVIDIA | Investor Presentation Deck | 24 slides",
    "rawTitle": "NVIDIA | Investor Presentation Deck | 24 slides",
    "authorId": "nvidia",
    "authorName": "NVIDIA",
    "authorDisplay": "NVIDIA",
    "kind": {
      "slug": "conference-presentation",
      "label": "Conference presentation"
    },
    "sourceType": {
      "slug": "investor_relations",
      "label": "Investor relations"
    },
    "fileName": "2020-05__nvidia__investor-pres__8c3da2ef.pdf",
    "sourceUrl": "https://www.slidebook.io/company/nvidia/presentation/8c3da2ef39d23af71506247c43b24336/",
    "sourceDate": "2020-05-28 00:00:00",
    "presentationDate": "2020-05-01 00:00:00",
    "ingestedAt": "2026-05-01 19:41:45.007596+00",
    "status": "ready",
    "pageCount": 24,
    "orientation": "landscape",
    "aspectRatio": 2.4870467,
    "targetCompany": null,
    "targetTicker": null,
    "metadata": {
      "corpus": "slidebook",
      "industry": "semiconductors",
      "local_root": "/Users/miguelsuredasuau/Desktop/lalalalla/_scrape/slidebook/decks/2020-05__nvidia__investor-pres__8c3da2ef",
      "image_width": 1920,
      "image_format": "jpg",
      "deck_type_raw": "Investor Presentation Deck",
      "deck_type_slug": null,
      "source_url_pattern": "https://www.slidebook.io/company/{company_slug}/presentation/{deck_id}/"
    }
  },
  "coverage": {
    "pageCount": 24,
    "pagesIndexed": 24,
    "pagesWithImages": 24,
    "pagesWithMetadata": 24,
    "imageCoveragePct": 100,
    "metadataCoveragePct": 100,
    "componentCount": 97,
    "chartCount": 4,
    "metricSlides": 0,
    "toolMatches": 10,
    "documentToolMatches": 0,
    "frameworkMatches": 7,
    "arcMatches": 0,
    "beatMatches": 0,
    "loopMatches": 0,
    "patternMatches": 0,
    "storymakersMatch": false,
    "scoreAvailable": false,
    "reviewAvailable": false,
    "activistThesisAvailable": false,
    "pitchdeckMetadataAvailable": false,
    "pitchdeckProfileAvailable": false
  },
  "blocks": [],
  "matches": {
    "arcs": [],
    "beats": [],
    "loops": [],
    "tools": [
      {
        "tool": {
          "name": "Problem Statement Canvas",
          "slug": "problem-statement-canvas",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18",
          "version": 1,
          "bodyDocId": null,
          "description": "Structured definition of the problem: What? Who? Where? When? Scale?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Architect",
        "layer": "slide",
        "agents": [
          "Architect"
        ],
        "matchId": "098c67fe-3f7c-4b6d-8434-d22cb4301106",
        "evidence": "paragraph/paragraph: 3000X Higher Compute Required to Train Largest Models Since Volta",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-17 01:00:30.569854+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 2,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "2x2 matrix",
          "slug": "matrix-2x2",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8",
          "version": 1,
          "bodyDocId": null,
          "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "8b60b4e6-aa87-45ba-84a5-e93db899498c",
        "evidence": "table/data: FP32 TRAINING 312 TFLOPS 20X; INT8 INFERENCE 1,248 TOPS 20X; FP64 HPC 19.5 TFLOPS 2.5X; MULTI INSTANCE GPU 7X GPUs",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.5,
        "extraction": {
          "at": "2026-07-17 01:00:30.757589+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 5,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Chart Selection Guide",
          "slug": "chart-selection-guide",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae",
          "version": 1,
          "bodyDocId": null,
          "description": "Choosing the right chart type for your data and message",
          "familyLabel": null,
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Designer",
        "layer": "slide",
        "agents": [
          "Designer"
        ],
        "matchId": "716266a2-7966-4387-a173-c2a789cf7151",
        "evidence": "chart/bar-horizontal: Comparison of bit-depths for FP32, TF32, FP16, and BFLOAT16",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-17 01:00:30.908433+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 7,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "8a170154-f13a-47ab-b486-f6f03e7b3a30",
        "evidence": "image/illustration: Diagram showing a single large block being split into seven smaller vertical segments.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-17 01:00:31.046691+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 9,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "718a061a-37c8-4404-84fc-c93370a2f9d0",
        "evidence": "chart/bar-vertical: BERT Training and Inference performance comparison",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-17 01:00:31.139807+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 10,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Executive summary",
          "slug": "executive-summary",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61",
          "version": 1,
          "bodyDocId": null,
          "description": "A condensed view of the entire argument on a single slide / block.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "cf538d33-b4e9-4664-8dea-b87f42008cf4",
        "evidence": "title/action-title: 5 PetaFLOPS of Performance in a Single Node",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-17 01:00:31.230843+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 11,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Audience Definition",
          "slug": "audience-definition",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
          "version": 1,
          "bodyDocId": null,
          "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "f240b215-4e71-4974-99a7-fedc68a7cead",
        "evidence": "The slide features a title and subtitle that seem to be directed at industry leaders, indicating a specific audience.",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-17 01:00:54.592944+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 12,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "0e145bf8-f1ad-45b5-afa3-0a7cdf7b7daf",
        "evidence": "The slide features a 'Before' and 'After' section, with a description of the current state and the state after adding 4 DGX SuperPODs.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-17 01:00:54.784385+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 16,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "fa87c757-5a05-4ecb-b82e-3a9a104ea747",
        "evidence": "The slide features a 'Before' and 'After' section, with a performance comparison and a description of the NVIDIA Merlin architecture.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-17 01:00:55.052001+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 22,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Flywheel",
          "slug": "flywheel",
          "status": "active",
          "bestFor": null,
          "canonId": "019de52d-1ad8-75ab-9027-a40365590152",
          "version": 1,
          "bodyDocId": null,
          "description": null,
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "b7f24a73-daad-4acf-bca8-58b411b0c0fe",
        "evidence": "Flywheel diagram showing Business Strategy at the center with three surrounding segments: Stable Utility Margins, Efficient Cost Structure, and Low-Risk Growth.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-17 01:00:29.323471+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 24,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      }
    ],
    "frameworks": [
      {
        "matchId": "aa53803f-0ef6-46a9-b039-d5d1f4c3b665",
        "evidence": "The slide explicitly lists three breakthroughs.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 10:27:58.402+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 4,
        "frameworkName": "three-part-structure"
      },
      {
        "matchId": "605bdc72-9562-4076-b6ef-1edd977add7b",
        "evidence": "Visual comparison of single vs multi-instance GPU architecture",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 10:27:58.473+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 9,
        "frameworkName": "before-after-framing"
      },
      {
        "matchId": "8b1d6ecb-6138-40f4-affb-6f2b0001a82d",
        "evidence": "The slide explicitly contrasts the state before expansion with the added capacity and the final total.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 10:27:59.018+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 16,
        "frameworkName": "before-after-framing"
      },
      {
        "matchId": "72e2bd13-5f48-46a5-a40f-fc655b80cc40",
        "evidence": "Central hardware unit surrounded by categorized partner logos and platform pillars.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 10:28:00.044+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 19,
        "frameworkName": "hub-spoke"
      },
      {
        "matchId": "937ee1d4-9792-42d5-b6cb-de4f56154f87",
        "evidence": "Comparison of CPU vs GPU performance metrics",
        "framework": null,
        "confidence": 0.95,
        "extraction": {
          "at": "2026-05-02 10:28:00.002+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 22,
        "frameworkName": "before-after-framing"
      },
      {
        "matchId": "f157585b-7e1f-4e94-b172-c3053ec86b10",
        "evidence": "The slide uses a left-to-right flow to show the progression of AI model development and deployment.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 10:28:00.196+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 23,
        "frameworkName": "process"
      },
      {
        "matchId": "068a10b4-9467-438a-930e-5bd7b47e514a",
        "evidence": "The slide maps the data processing pipeline from ETL to Training to Inference as a value-adding sequence.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 10:28:00.788+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 24,
        "frameworkName": "value-chain"
      }
    ],
    "patterns": []
  },
  "storymakers": null,
  "score": null,
  "review": null,
  "activistThesis": null,
  "pitchdeck": {
    "metadata": null,
    "profile": null
  },
  "slides": [
    {
      "page": 1,
      "type": "setup",
      "function": "front_matter",
      "imagePath": "https://imgproxy.kitesheet.com/TpHCfvVwYgj7hAwUZilAResQeJD2NdyHvvTcb6VAyKE/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84YzNkYTJlZjM5ZDIzYWY3MTUwNjI0N2M0M2IyNDMzNi9wMDAxLmpwZw",
      "rawType": "cover",
      "block": null,
      "metadata": {
        "slideType": "cover",
        "slideTypeCanon": {
          "name": "Cover",
          "slug": "cover",
          "status": "active",
          "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410",
          "version": 1,
          "description": null
        },
        "function": "front_matter",
        "functionCanon": {
          "name": "Front matter",
          "slug": "front_matter",
          "status": "active",
          "canonId": "019de52d-133d-73f0-9e26-201eda96b098",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 10,
        "componentCount": 3,
        "textChars": 43,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:56.957+00",
          "seconds": 2.384,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/1",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-1",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.224,
            "w": 0.45,
            "x": 0.275,
            "y": 0.388
          },
          "kind": "image",
          "text": "NVIDIA logo",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo",
              "slug": "logo",
              "status": "active",
              "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:56.957+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6d0c0b71-9180-41f7-a284-a85bb96b25e7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.248,
            "x": 0.053,
            "y": 0.712
          },
          "kind": "title",
          "text": "NVIDIA Investor Call",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:56.957+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2d73b763-4f41-4e92-820c-a971c6e33115",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.182,
            "x": 0.053,
            "y": 0.788
          },
          "kind": "title",
          "text": "May 28, 2020",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:56.957+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ee0cea49-117a-40b4-836e-cf51311b22d8",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "thumbSrc": "https://imgproxy.kitesheet.com/uWKoqkkc9pZTgV3NmTDC94pJVAXkYTOZb8SmJ_ulzNE/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84YzNkYTJlZjM5ZDIzYWY3MTUwNjI0N2M0M2IyNDMzNi9wMDAxLmpwZw",
      "imagePathAlt": "https://imgproxy.kitesheet.com/i2kd2U3mIY-QW3Hr54tDpCsa4qfM_3Wxbcu8nsKSabI/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84YzNkYTJlZjM5ZDIzYWY3MTUwNjI0N2M0M2IyNDMzNi9wMDAxLnBuZw",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/fRjjrfaqy0a2MgmyfBFMBFdnYXRAqlVHo-0XcwXVqJk/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84YzNkYTJlZjM5ZDIzYWY3MTUwNjI0N2M0M2IyNDMzNi9wMDAxLnBuZw"
    },
    {
      "page": 2,
      "type": "tension",
      "title": "The slide uses a split-screen approach to contrast training compute growth (left) with inference/interaction scale (right).",
      "function": "frame_problem",
      "rawType": "problem_statement",
      "block": null,
      "metadata": {
        "slideType": "problem_statement",
        "slideTypeCanon": {
          "name": "Problem statement",
          "slug": "problem_statement",
          "status": "active",
          "canonId": "019de52d-0879-768d-bba8-8da8a5a121d4",
          "version": 1,
          "description": null
        },
        "function": "frame_problem",
        "functionCanon": {
          "name": "Frame problem",
          "slug": "frame_problem",
          "status": "active",
          "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 58,
        "componentCount": 6,
        "textChars": 245,
        "nDataPoints": 10,
        "notes": "The slide uses a split-screen approach to contrast training compute growth (left) with inference/interaction scale (right).",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:57.259+00",
          "seconds": 2.474,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/2",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-2",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.55,
            "w": 0.45,
            "x": 0.05,
            "y": 0.28
          },
          "kind": "chart",
          "text": "Computing For Training AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Line chart",
              "slug": "line",
              "status": "active",
              "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "line",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.259+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "040e4809-898e-4ec0-889b-00328b316249",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.55,
            "w": 0.45,
            "x": 0.52,
            "y": 0.28
          },
          "kind": "image",
          "text": "AI Interactions Per Day",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Icon grid",
              "slug": "icon-grid",
              "status": "active",
              "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "icon-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.259+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "97002be3-c46d-4b5d-bf93-62217fe36f5d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.38,
            "x": 0.08,
            "y": 0.84
          },
          "kind": "paragraph",
          "text": "3000X Higher Compute Required to Train Largest Models Since Volta",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.259+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "caddc4f4-beb6-4731-aed2-441a5a4f883c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.38,
            "x": 0.55,
            "y": 0.84
          },
          "kind": "paragraph",
          "text": "Every AI Powered Interaction Needs Varying Amount of Compute",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.259+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f9a06314-eef1-4087-b668-6a0b564f5e79",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.02,
            "w": 0.15,
            "x": 0.01,
            "y": 0.97
          },
          "kind": "source-note",
          "text": "Source: OpenAI and NVIDIA Analysis",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.259+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "53a82062-c92a-4b21-ba19-dc950e8d54db",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.5,
            "x": 0.25,
            "y": 0.12
          },
          "kind": "title",
          "text": "CHALLENGES: ACCELERATING BIG AND SMALL",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.259+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "42e71490-5d3d-46a8-a9b6-2c217b341ee6",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Problem Statement Canvas",
            "slug": "problem-statement-canvas",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18",
            "version": 1,
            "bodyDocId": null,
            "description": "Structured definition of the problem: What? Who? Where? When? Scale?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Architect",
          "layer": "slide",
          "agents": [
            "Architect"
          ],
          "matchId": "098c67fe-3f7c-4b6d-8434-d22cb4301106",
          "evidence": "paragraph/paragraph: 3000X Higher Compute Required to Train Largest Models Since Volta",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-17 01:00:30.569854+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 2,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 3,
      "type": "appendix",
      "title": "The slide uses visual metaphors of server racks with varying densities and internal hardware components to represent scale and demand.",
      "function": "establish_context",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 21,
        "componentCount": 3,
        "textChars": 215,
        "nDataPoints": 0,
        "notes": "The slide uses visual metaphors of server racks with varying densities and internal hardware components to represent scale and demand.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:57.23+00",
          "seconds": 2.242,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/3",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-3",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.88,
            "x": 0.06,
            "y": 0.27
          },
          "kind": "image",
          "text": "Five server racks with varying color-coded densities and three circular callouts showing internal hardware components.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.23+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0399bccf-3229-4caa-b497-1a07570a99ae",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.02,
            "w": 0.46,
            "x": 0.27,
            "y": 0.19
          },
          "kind": "paragraph",
          "text": "Diverse Applications | Scale-Up & Scale-Out Workloads | Insatiable Demand",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.23+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "130fad39-04c9-4a2c-8def-76d6338f28af",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.26,
            "x": 0.37,
            "y": 0.14
          },
          "kind": "title",
          "text": "MODERN CLOUD DATA CENTER",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:57.23+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9a1e8afe-5519-40f2-a905-87be6837b21d",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 4,
      "type": "resolution",
      "title": "The slide uses a rule of three to present core value propositions.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 65,
        "componentCount": 8,
        "textChars": 247,
        "nDataPoints": 2,
        "notes": "The slide uses a rule of three to present core value propositions.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.402+00",
          "seconds": 2.903,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/4",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-4",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.3,
            "x": 0.35,
            "y": 0.39
          },
          "kind": "image",
          "text": "Diagram of neural network architecture",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0c08bf43-67d1-41c6-8a50-c2ad81e42e5a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.1,
            "x": 0.15,
            "y": 0.475
          },
          "kind": "metric",
          "text": "20X",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "62750fff-7721-4fc0-a029-6c00a98d4592",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.12,
            "x": 0.74,
            "y": 0.475
          },
          "kind": "metric",
          "text": "1-50",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "73186621-4dad-490f-9cf2-cddef3ef61a2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.15,
            "x": 0.125,
            "y": 0.69
          },
          "kind": "paragraph",
          "text": "A GIANT PERFORMANCE LEAP",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "023de2cc-c3c0-4cb6-a3ab-502884f47de6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.35,
            "y": 0.67
          },
          "kind": "paragraph",
          "text": "UNIFIED AI TRAINING AND INFERENCE ACCELERATION",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3ab0e3c0-9ce4-43da-bc4b-5b873d04adee",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.16,
            "x": 0.72,
            "y": 0.67
          },
          "kind": "paragraph",
          "text": "SCALABILITY FOR THE ELASTIC DATACENTER",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9980b6b4-ce81-4634-aed5-066f6b1461aa",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.02,
            "w": 0.47,
            "x": 0.265,
            "y": 0.188
          },
          "kind": "title",
          "text": "Three Breakthroughs to Fuel the Next Era of Modern Accelerated Data Centers",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "97c2f17c-9397-41eb-a488-ffd6273b8858",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.19,
            "x": 0.405,
            "y": 0.138
          },
          "kind": "title",
          "text": "REIMAGINING THE GPU",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cd0493d4-cafa-4835-848a-57541758d074",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "aa53803f-0ef6-46a9-b039-d5d1f4c3b665",
          "evidence": "The slide explicitly lists three breakthroughs.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 10:27:58.402+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 4,
          "frameworkName": "three-part-structure"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 5,
      "type": "resolution",
      "title": "The slide uses a high-quality product render of the A100 GPU to anchor the performance claims.",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 26,
        "componentCount": 3,
        "textChars": 197,
        "nDataPoints": 7,
        "notes": "The slide uses a high-quality product render of the A100 GPU to anchor the performance claims.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.414+00",
          "seconds": 2.786,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/5",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-5",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.575,
            "w": 0.305,
            "x": 0.585,
            "y": 0.295
          },
          "kind": "image",
          "text": "NVIDIA A100 GPU render",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.414+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ffdd6307-e909-41d6-aab4-ce0dfe9f6053",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.25,
            "x": 0.092,
            "y": 0.455
          },
          "kind": "table",
          "text": "FP32 TRAINING 312 TFLOPS 20X; INT8 INFERENCE 1,248 TOPS 20X; FP64 HPC 19.5 TFLOPS 2.5X; MULTI INSTANCE GPU 7X GPUs",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Table",
              "slug": "table",
              "status": "active",
              "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28",
              "version": 1,
              "description": "Tabular data layout."
            },
            "tool": null,
            "subkind": {
              "name": "Data table",
              "slug": "data",
              "status": "active",
              "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "data",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.414+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9bb3ab3a-322f-461c-9750-9c491f8d4e33",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.075,
            "w": 0.384,
            "x": 0.308,
            "y": 0.095
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA A100 GREATEST GENERATIONAL LEAP – 20X VOLTA",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.414+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2028a959-1d95-4dba-ac35-b7c3abcfd864",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "2x2 matrix",
            "slug": "matrix-2x2",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8",
            "version": 1,
            "bodyDocId": null,
            "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "8b60b4e6-aa87-45ba-84a5-e93db899498c",
          "evidence": "table/data: FP32 TRAINING 312 TFLOPS 20X; INT8 INFERENCE 1,248 TOPS 20X; FP64 HPC 19.5 TFLOPS 2.5X; MULTI INSTANCE GPU 7X GPUs",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.5,
          "extraction": {
            "at": "2026-07-17 01:00:30.757589+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 5,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 6,
      "type": "setup",
      "title": "The slide uses a visual breakdown of five core technological pillars (54B transistors, Tensor Cores, Sparsity, MIG, NVLink) alongside a product photo.",
      "function": "summarize",
      "rawType": "key_messages",
      "block": null,
      "metadata": {
        "slideType": "key_messages",
        "slideTypeCanon": {
          "name": "Key messages",
          "slug": "key_messages",
          "status": "active",
          "canonId": "019de52d-0712-703f-89f5-bda6688faf3f",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 37,
        "componentCount": 4,
        "textChars": 225,
        "nDataPoints": 6,
        "notes": "The slide uses a visual breakdown of five core technological pillars (54B transistors, Tensor Cores, Sparsity, MIG, NVLink) alongside a product photo.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.63+00",
          "seconds": 2.978,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/6",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-6",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.45,
            "x": 0.05,
            "y": 0.4
          },
          "kind": "image",
          "text": "5 circular icons representing technical features",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.63+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "73748184-850f-4406-8e6d-1e3896f4c9b2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.35,
            "x": 0.58,
            "y": 0.28
          },
          "kind": "image",
          "text": "NVIDIA A100 GPU hardware",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.63+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "30bc26a4-fb13-4b8b-8b35-199b31274de5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.45,
            "x": 0.5,
            "y": 0.9
          },
          "kind": "paragraph",
          "text": "54B xtors | 826mm² | TSMC 7N | 40GB Samsung HBM2 | 3rd gen Tensor Core GPU | 600 GB/s NVLink",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.63+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fc819e18-2d8c-4419-b497-af9d9a6d5830",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.5,
            "x": 0.25,
            "y": 0.08
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA A100 GREATEST GENERATIONAL LEAP – 20X VOLTA",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.63+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4d3df565-e027-40fd-932b-42b91d9dcd4e",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 7,
      "type": "appendix",
      "title": "The slide illustrates the bit-field composition (exponent vs mantissa) of various data formats.",
      "function": "present_solution",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 37,
        "componentCount": 4,
        "textChars": 224,
        "nDataPoints": 8,
        "notes": "The slide illustrates the bit-field composition (exponent vs mantissa) of various data formats.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.627+00",
          "seconds": 2.956,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/7",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-7",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.55,
            "w": 0.35,
            "x": 0.13,
            "y": 0.3
          },
          "kind": "chart",
          "text": "Comparison of bit-depths for FP32, TF32, FP16, and BFLOAT16",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Horizontal bar chart",
              "slug": "bar-horizontal",
              "status": "active",
              "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-horizontal",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.627+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "01fa8a1d-4617-4c4e-a222-2216fb00a596",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.56,
            "w": 0.3,
            "x": 0.584,
            "y": 0.304
          },
          "kind": "image",
          "text": "NVIDIA GPU hardware component",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.627+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "528ef5d8-07fb-49e3-9444-11d88ac1a3c9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.22,
            "x": 0.39,
            "y": 0.13
          },
          "kind": "title",
          "text": "NEW TF32 TENSOR CORES",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.627+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cdef0224-6d55-47e2-8de8-8308c2afe352",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.74,
            "x": 0.13,
            "y": 0.18
          },
          "kind": "title",
          "text": "Range of FP32 and Precision of FP16 | Input in FP32 and Accumulation in FP32 | No Code Change Speed-up for Training",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.627+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0a655354-83ca-47a6-b95b-0e62fe6742ff",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Chart Selection Guide",
            "slug": "chart-selection-guide",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae",
            "version": 1,
            "bodyDocId": null,
            "description": "Choosing the right chart type for your data and message",
            "familyLabel": null,
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "Designer",
          "layer": "slide",
          "agents": [
            "Designer"
          ],
          "matchId": "716266a2-7966-4387-a173-c2a789cf7151",
          "evidence": "chart/bar-horizontal: Comparison of bit-depths for FP32, TF32, FP16, and BFLOAT16",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-17 01:00:30.908433+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 7,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 8,
      "type": "appendix",
      "title": "The slide uses a visual process flow to demonstrate the transition from dense to sparse matrices and the resulting hardware acceleration.",
      "function": "present_solution",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 47,
        "componentCount": 5,
        "textChars": 242,
        "nDataPoints": 1,
        "notes": "The slide uses a visual process flow to demonstrate the transition from dense to sparse matrices and the resulting hardware acceleration.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:59.148+00",
          "seconds": 3.424,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/8",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-8",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.45,
            "w": 0.4,
            "x": 0.1,
            "y": 0.35
          },
          "kind": "diagram",
          "text": "Dense Matrix to Sparse Matrix to A100 Sparsity Optimized Tensor Core",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.148+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "292de984-9a6c-4b5f-9ff3-d525d1902ab8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.35,
            "x": 0.58,
            "y": 0.29
          },
          "kind": "image",
          "text": "NVIDIA A100 GPU hardware",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.148+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2d37309a-cb2d-411e-88b6-548d9cc220e4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.05,
            "x": 0.35,
            "y": 0.43
          },
          "kind": "metric",
          "text": "2X",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.148+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ffc0c9f6-6025-4054-a653-4610a531e095",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.5,
            "x": 0.25,
            "y": 0.1
          },
          "kind": "title",
          "text": "NEW TENSOR CORE ACCELERATION FOR SPARSITY",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.148+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "442cf03c-5db9-4daa-a834-95841675ff2b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.7,
            "x": 0.15,
            "y": 0.17
          },
          "kind": "title",
          "text": "Optimized For Sparse AI Tensor Ops | 2X Faster Execution | Supported on TF32, FP16, BFLOAT16, INT8 and INT4",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.148+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d53b08f9-1a54-4857-9469-af5fc9fd5d97",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 9,
      "type": "appendix",
      "title": "The slide uses a before-after visual metaphor to explain Multi-Instance GPU (MIG) technology.",
      "function": "present_solution",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 36,
        "componentCount": 4,
        "textChars": 245,
        "nDataPoints": 1,
        "notes": "The slide uses a before-after visual metaphor to explain Multi-Instance GPU (MIG) technology.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.473+00",
          "seconds": 2.723,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/9",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-9",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.45,
            "w": 0.36,
            "x": 0.08,
            "y": 0.3
          },
          "kind": "image",
          "text": "Diagram showing a single large block being split into seven smaller vertical segments.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.473+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8dbc4586-6956-4882-9433-ad0d9e93f74b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.55,
            "w": 0.35,
            "x": 0.58,
            "y": 0.3
          },
          "kind": "image",
          "text": "Photograph of an NVIDIA GPU hardware component.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.473+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9a086326-843b-4ece-9220-1d81bf83ae65",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.5,
            "x": 0.25,
            "y": 0.18
          },
          "kind": "title",
          "text": "7x Higher Throughput of V100 with Simultaneous Instances per GPU",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.473+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ae19a5d5-1e0f-4e63-bf47-e2a109794781",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.5,
            "x": 0.25,
            "y": 0.13
          },
          "kind": "title",
          "text": "NEW MULTI-INSTANCE GPU FOR ELASTIC GPU COMPUTING",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.473+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9e46999a-e490-4268-a52f-012a5919732d",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "8a170154-f13a-47ab-b486-f6f03e7b3a30",
          "evidence": "image/illustration: Diagram showing a single large block being split into seven smaller vertical segments.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-17 01:00:31.046691+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 9,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "605bdc72-9562-4076-b6ef-1edd977add7b",
          "evidence": "Visual comparison of single vs multi-instance GPU architecture",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 10:27:58.473+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 9,
          "frameworkName": "before-after-framing"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 10,
      "type": "evidence",
      "title": "The slide uses a bar chart to demonstrate performance improvements in AI workloads.",
      "function": "analyze_data",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 51,
        "componentCount": 4,
        "textChars": 513,
        "nDataPoints": 5,
        "notes": "The slide uses a bar chart to demonstrate performance improvements in AI workloads.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.677+00",
          "seconds": 2.854,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/10",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-10",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.548,
            "w": 0.363,
            "x": 0.084,
            "y": 0.303
          },
          "kind": "chart",
          "text": "BERT Training and Inference performance comparison",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Vertical bar chart",
              "slug": "bar-vertical",
              "status": "active",
              "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-vertical",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.677+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0243ee85-26a5-4505-9623-c795252efa1b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.548,
            "w": 0.333,
            "x": 0.583,
            "y": 0.303
          },
          "kind": "image",
          "text": "NVIDIA A100 GPU hardware",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.677+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9d033475-2162-42f8-ae5a-de26adff9137",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.656,
            "x": 0.172,
            "y": 0.933
          },
          "kind": "subtitle",
          "text": "BERT Pre-Training Throughput using Pytorch including (2/3)Phase 1 and (1/3)Phase 2 | Phase 1 Seq Len = 128, Phase 2 Seq Len = 512 V100: DGX-1 Server with 8xV100 using FP32 precision A100: DGX A100 Server with 8xA100 using TF32 precision | BERT Large Inference | T4, V100: TRT 7.1, Precision = FP16, Batch Size =256 | A100 MIG: Pre-production TRT, Batch Size =94, Precision = INT8 with Sparsity",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce",
              "version": 1,
              "description": "Header-zone supporting text near the title (= ex body.description with bbox)."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.677+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "de9525a9-9f6a-48d1-9f64-072527da62b5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.45,
            "x": 0.275,
            "y": 0.135
          },
          "kind": "title",
          "text": "UNIFIED AI TRAINING AND INFERENCE ACCELERATION",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.677+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9be0b26f-58b5-4cbd-aa89-07552272a660",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "718a061a-37c8-4404-84fc-c93370a2f9d0",
          "evidence": "chart/bar-vertical: BERT Training and Inference performance comparison",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-17 01:00:31.139807+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 10,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 11,
      "type": "appendix",
      "title": "The slide uses a callout-style diagram to label components of the hardware unit.",
      "function": "present_solution",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 74,
        "componentCount": 6,
        "textChars": 632,
        "nDataPoints": 8,
        "notes": "The slide uses a callout-style diagram to label components of the hardware unit.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.813+00",
          "seconds": 2.697,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/11",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-11",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.85,
            "w": 0.45,
            "x": 0.512,
            "y": 0.075
          },
          "kind": "image",
          "text": "NVIDIA DGX A100 hardware render",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.813+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c5da4a96-decb-4918-9bf5-32c50bc445bb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.25,
            "x": 0.75,
            "y": 0.15
          },
          "kind": "legend",
          "text": "9x Mellanox ConnectX-6 VPI 200Gb/s Network Interface\nDual 64-core AMD Rome CPU 1TB RAM\n8x NVIDIA A100 GPUs\n6x NVIDIA NVSwitches\n4.8 TB/s Bi-Directional Bandwidth\n600 GB/s GPU-to-GPU Bandwidth\n15TB Gen4 NVME SSD",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Legend",
              "slug": "legend",
              "status": "active",
              "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c",
              "version": 1,
              "description": "Color/symbol decoder placed adjacent to a chart or diagram."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.813+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1d92e71f-a236-4f0f-adcf-e85c319ca5ec",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.35,
            "x": 0.07,
            "y": 0.43
          },
          "kind": "list",
          "text": "Unified System for End-to-End Data Science and AI\nFully Accelerated Stacks — Spark 3.0, RAPIDS, TensorFlow, PyTorch, Triton\nElastic Scale-Up or Scale-Out Computing\nHigh Scalability with Mellanox Networking",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.813+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9d03a1d4-76bf-4205-a9a6-4a51bb78aeee",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.2,
            "x": 0.07,
            "y": 0.63
          },
          "kind": "table",
          "text": "INT8 10 PetaOPS Peak\nFP16 5 PFLOPS Peak\nTF32 2.5 PFLOPS Peak\nFP64 156 TFLOPS Peak",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Table",
              "slug": "table",
              "status": "active",
              "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28",
              "version": 1,
              "description": "Tabular data layout."
            },
            "tool": null,
            "subkind": {
              "name": "Data table",
              "slug": "data",
              "status": "active",
              "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "data",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.813+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "06cf8b76-de7a-49cf-9bf9-0e709c1401c3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.3,
            "x": 0.07,
            "y": 0.3
          },
          "kind": "title",
          "text": "5 PetaFLOPS of Performance in a Single Node",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.813+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c07e51f6-2667-44f0-aa09-66da2c1072f3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.4,
            "x": 0.07,
            "y": 0.18
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA DGX A100 3RD GENERATION INTEGRATED AI SYSTEM",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.813+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a3c657d8-a09f-4f7d-a7ef-8470a0079430",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Executive summary",
            "slug": "executive-summary",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61",
            "version": 1,
            "bodyDocId": null,
            "description": "A condensed view of the entire argument on a single slide / block.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "cf538d33-b4e9-4664-8dea-b87f42008cf4",
          "evidence": "title/action-title: 5 PetaFLOPS of Performance in a Single Node",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-17 01:00:31.230843+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 11,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 12,
      "type": "appendix",
      "title": "The slide uses a logo-grid to establish social proof and market adoption.",
      "function": "establish_context",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 27,
        "componentCount": 4,
        "textChars": 159,
        "nDataPoints": 0,
        "notes": "The slide uses a logo-grid to establish social proof and market adoption.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.877+00",
          "seconds": 2.619,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/12",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-12",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.6,
            "w": 0.4,
            "x": 0.55,
            "y": 0.3
          },
          "kind": "image",
          "text": "NVIDIA A100 hardware render",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.877+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dac92f8e-823d-41fa-8fb3-6226e398b0c2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.55,
            "w": 0.45,
            "x": 0.07,
            "y": 0.32
          },
          "kind": "image",
          "text": "Cloud and Systems partner logos",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo grid",
              "slug": "logo-grid",
              "status": "active",
              "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.877+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "23153cea-50aa-429a-8bec-88df7b62f607",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.38,
            "x": 0.07,
            "y": 0.12
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA A100 LIGHTHOUSE CUSTOMERS",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.877+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2f50f593-8363-423b-b06a-5211cfc1275a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.41,
            "x": 0.07,
            "y": 0.17
          },
          "kind": "title",
          "text": "Elastic Data Center Accelerator Choice of Industry Leaders",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.877+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6444b7f9-468f-4745-afad-f494f6fc886b",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Audience Definition",
            "slug": "audience-definition",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
            "version": 1,
            "bodyDocId": null,
            "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "f240b215-4e71-4974-99a7-fedc68a7cead",
          "evidence": "The slide features a title and subtitle that seem to be directed at industry leaders, indicating a specific audience.",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-17 01:00:54.592944+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 12,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 13,
      "type": "analysis",
      "function": "analyze_data",
      "rawType": "kpi_overview",
      "block": null,
      "metadata": {
        "slideType": "kpi_overview",
        "slideTypeCanon": {
          "name": "KPI overview (contrarian)",
          "slug": "kpi_overview",
          "status": "active",
          "canonId": "019de52d-11d5-7328-b1d1-5368a03e7796",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 30,
        "componentCount": 4,
        "textChars": 119,
        "nDataPoints": 5,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:59.01+00",
          "seconds": 2.749,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/13",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-13",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 1,
            "w": 0.66,
            "x": 0.34,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3c0fa93e-5f13-4c2b-95b1-6487d2ee7d92",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.25,
            "x": 0.07,
            "y": 0.36
          },
          "kind": "list",
          "text": "50 DGX-1 Systems for AI training\n600 CPU Systems for AI Inference\n$11M\n25 Racks\n630 kW",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0dee97cf-b76b-4ad2-999f-c1428485a256",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.17,
            "x": 0.64,
            "y": 0.408
          },
          "kind": "metric",
          "text": "$11M 630 kW",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fe1fa7ce-cb26-452e-aced-37d5422f70a4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.28,
            "x": 0.07,
            "y": 0.27
          },
          "kind": "title",
          "text": "TODAY'S AI DATA CENTER",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "10950219-f592-408f-9ff6-164d369dbd32",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 14,
      "type": "setup",
      "title": "The slide uses a visual representation of a server rack to anchor the quantitative claims.",
      "function": "quantify_opportunity",
      "rawType": "comparison_table",
      "block": null,
      "metadata": {
        "slideType": "comparison_table",
        "slideTypeCanon": {
          "name": "Comparison table",
          "slug": "comparison_table",
          "status": "active",
          "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2",
          "version": 1,
          "description": null
        },
        "function": "quantify_opportunity",
        "functionCanon": {
          "name": "Quantify opportunity",
          "slug": "quantify_opportunity",
          "status": "active",
          "canonId": "019de52d-17e4-726f-aa15-83350acef1dd",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 48,
        "componentCount": 6,
        "textChars": 108,
        "nDataPoints": 6,
        "notes": "The slide uses a visual representation of a server rack to anchor the quantitative claims.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:59.363+00",
          "seconds": 3.001,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/14",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-14",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.865,
            "w": 0.656,
            "x": 0.344,
            "y": 0.135
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.363+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a47b1a3b-03d7-4f0e-ae16-3986efa64268",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.31,
            "x": 0.07,
            "y": 0.36
          },
          "kind": "list",
          "text": "5 DGX A100 Systems for AI Training and Inference\n$1M\n1 Rack\n28 kW",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.363+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "44b725ad-c372-4995-ab7b-6365b318323b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.17,
            "x": 0.65,
            "y": 0.46
          },
          "kind": "metric",
          "text": "$1M 28 kW",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.363+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "58b46b9a-ae07-4f88-abb0-df9bf3404864",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.11,
            "x": 0.68,
            "y": 0.64
          },
          "kind": "metric",
          "text": "1/20th POWER",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.363+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8c6b7900-17ac-462d-8aed-5cfbe0243e59",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.11,
            "x": 0.68,
            "y": 0.53
          },
          "kind": "metric",
          "text": "1/10th COST",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": null,
            "subkind": {
              "name": "Big number",
              "slug": "big-number",
              "status": "active",
              "canonId": "019de52c-fc70-70c8-b965-0584548a9204",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "big-number",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.363+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "babab3cb-878f-4a81-89e0-391a5ef45f7a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.17,
            "x": 0.07,
            "y": 0.27
          },
          "kind": "title",
          "text": "DGX A100 AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.363+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "365b3dad-a2eb-45ff-9511-1659a6590e93",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 15,
      "type": "appendix",
      "title": "The slide uses a high-quality 3D render of a data center floor to emphasize the scale of the SuperPOD.",
      "function": "present_solution",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 29,
        "componentCount": 3,
        "textChars": 250,
        "nDataPoints": 6,
        "notes": "The slide uses a high-quality 3D render of a data center floor to emphasize the scale of the SuperPOD.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.911+00",
          "seconds": 2.378,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/15",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-15",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 1,
            "w": 1,
            "x": 0,
            "y": 0
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.911+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7cf4b88b-787a-42e8-9bb3-4f5a90ab2bbb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.3,
            "x": 0.05,
            "y": 0.6
          },
          "kind": "list",
          "text": "140 DGX A100 Systems (1,120 A100)\n170 Mellanox Quantum 200G InfiniBand Switches\n280 TB/s Network Fabric - 15km of Optical Cable\n4 PB of All-Flash Networked Storage\n700 PFLOPS of AI Performance\nBuilt in under 3 Weeks",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.911+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c3a352ca-e842-49d6-97fa-63bedb1f6e18",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.25,
            "x": 0.05,
            "y": 0.48
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA DGX A100 SUPERPOD",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.911+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4da7acbc-b47b-41bf-a1d5-2b59ac820f20",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 16,
      "type": "evidence",
      "title": "The slide uses a photo of a data center as a background with a semi-transparent overlay for the text.",
      "function": "quantify_opportunity",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "quantify_opportunity",
        "functionCanon": {
          "name": "Quantify opportunity",
          "slug": "quantify_opportunity",
          "status": "active",
          "canonId": "019de52d-17e4-726f-aa15-83350acef1dd",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 24,
        "componentCount": 3,
        "textChars": 174,
        "nDataPoints": 5,
        "notes": "The slide uses a photo of a data center as a background with a semi-transparent overlay for the text.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:59.018+00",
          "seconds": 2.484,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/16",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-16",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 1,
            "w": 1,
            "x": 0,
            "y": 0
          },
          "kind": "image",
          "text": "Data center server racks",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.018+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5c1c08c0-bf38-4d9e-9626-59990ffd1543",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.25,
            "x": 0.05,
            "y": 0.58
          },
          "kind": "paragraph",
          "text": "Before Expansion\n1,800 DGX Systems\n1.8 ExaFLOPS\n\nAdding 4 DGX SuperPODs\n560 DGX A100 = 2.8 ExaFLOPS\n\n4.6 ExaFLOPS Total Capacity",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.018+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "89cc1442-1d7d-4fee-97dc-05bb9bb67cdc",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.25,
            "x": 0.05,
            "y": 0.53
          },
          "kind": "title",
          "text": "NVIDIA EXPANDS SATURNV",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.018+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1fa44c13-6b13-491e-bce1-b4965c11e537",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "0e145bf8-f1ad-45b5-afa3-0a7cdf7b7daf",
          "evidence": "The slide features a 'Before' and 'After' section, with a description of the current state and the state after adding 4 DGX SuperPODs.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-17 01:00:54.784385+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 16,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "8b1d6ecb-6138-40f4-affb-6f2b0001a82d",
          "evidence": "The slide explicitly contrasts the state before expansion with the added capacity and the final total.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 10:27:59.018+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 16,
          "frameworkName": "before-after-framing"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 17,
      "type": "setup",
      "title": "The slide uses a minimalist aesthetic to show a range of connected devices.",
      "function": "establish_context",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 21,
        "componentCount": 3,
        "textChars": 216,
        "nDataPoints": 0,
        "notes": "The slide uses a minimalist aesthetic to show a range of connected devices.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.627+00",
          "seconds": 2.093,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/17",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-17",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.9,
            "x": 0.05,
            "y": 0.4
          },
          "kind": "image",
          "text": "Collection of smart technology icons (thermostat, AR headset, wind turbine, robotic arm, delivery robot, autonomous car, cell tower)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.627+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6e68e0ab-3101-4602-9e5f-30462eec8efd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.02,
            "w": 0.32,
            "x": 0.34,
            "y": 0.92
          },
          "kind": "paragraph",
          "text": "ALWAYS-ON | INSTANT SENSE-INFER-ACT | DISTANT | TRILLIONS",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.627+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ea4b40d5-80ba-4084-8aed-b879a834bf12",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.28,
            "x": 0.36,
            "y": 0.14
          },
          "kind": "title",
          "text": "SMART EVERYTHING REVOLUTION",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:58.627+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "2801fc37-13fa-455e-b419-e882aa7355e8",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 18,
      "type": "appendix",
      "title": "The slide uses a product image with callouts to specific hardware features.",
      "function": "present_solution",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 44,
        "componentCount": 4,
        "textChars": 380,
        "nDataPoints": 1,
        "notes": "The slide uses a product image with callouts to specific hardware features.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:59.859+00",
          "seconds": 3.21,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/18",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-18",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.3,
            "x": 0.35,
            "y": 0.55
          },
          "kind": "image",
          "text": "NVIDIA EGX A100 hardware",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.859+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "278a187a-66fc-47f7-9e21-7c2182c545b8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.25,
            "x": 0.6,
            "y": 0.45
          },
          "kind": "list",
          "text": "NVIDIA Ampere GPU: 3rd generation Tensor Core, New Security Engine for Confidential AI, Secure, Authenticated Boot",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.859+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0fe2a5fa-624f-4d92-927f-e255bf407e97",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.25,
            "x": 0.15,
            "y": 0.5
          },
          "kind": "list",
          "text": "NVIDIA Mellanox ConnectX-6 DX: Dual 100 Gb/s Ethernet or InfiniBand, Line-speed TLS/IPSec Crypto Engine, Time Triggered Transmission Tech for Telco (5T for 5G), ASAP2 SR-IOV and VirtualIO Offload",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.859+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1fb89e7f-f066-4727-9771-80f37fbda194",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.5,
            "x": 0.25,
            "y": 0.08
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA EGX A100 WITH MELLANOX CX6 DX",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.859+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "588987e9-c542-43b3-9d17-83a6325ca999",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 19,
      "type": "appendix",
      "title": "The slide uses a hub-and-spoke visual metaphor with the NVIDIA hardware at the center and partner logos categorized by industry/function.",
      "function": "establish_context",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 34,
        "componentCount": 4,
        "textChars": 281,
        "nDataPoints": 0,
        "notes": "The slide uses a hub-and-spoke visual metaphor with the NVIDIA hardware at the center and partner logos categorized by industry/function.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:28:00.044+00",
          "seconds": 3.372,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/19",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-19",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.4,
            "x": 0.3,
            "y": 0.25
          },
          "kind": "diagram",
          "text": "Centralized platform pillars: Metropolis, Clara, Aerial, Jarvis, Isaac",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Hub and spoke",
              "slug": "hub-spoke",
              "status": "active",
              "canonId": "019de52d-04db-73e6-81ca-a234f2f23fc1",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "hub-spoke",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.044+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3d5811c3-7779-40c9-ada9-f07720845089",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.2,
            "x": 0.4,
            "y": 0.58
          },
          "kind": "image",
          "text": "NVIDIA EGX hardware unit",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.044+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "edadd72d-a5f4-492b-ba40-21833d6d4c4d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.92,
            "x": 0.04,
            "y": 0.25
          },
          "kind": "image",
          "text": "Partner logos organized by category (5G, Security, Infrastructure, Systems, Cloud, Conversational AI, Video Analytics, Robotics, Medical, Industrial, Industry Leaders)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo grid",
              "slug": "logo-grid",
              "status": "active",
              "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.044+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ac449246-910f-4a1d-b37f-9876b5fb0896",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.18,
            "x": 0.41,
            "y": 0.14
          },
          "kind": "title",
          "text": "NVIDIA EGX ECOSYSTEM",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.044+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cf449576-4933-42c5-9c44-9a2cbc28aaf7",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "72e2bd13-5f48-46a5-a40f-fc655b80cc40",
          "evidence": "Central hardware unit surrounded by categorized partner logos and platform pillars.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 10:28:00.044+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 19,
          "frameworkName": "hub-spoke"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 20,
      "type": "appendix",
      "title": "Visual layout using product imagery and icons to represent a portfolio of announcements.",
      "function": "other",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "other",
        "functionCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 41,
        "componentCount": 6,
        "textChars": 94,
        "nDataPoints": 0,
        "notes": "Visual layout using product imagery and icons to represent a portfolio of announcements.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:59.152+00",
          "seconds": 2.438,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/20",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-20",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.14,
            "x": 0.24,
            "y": 0.33
          },
          "kind": "image",
          "text": "Omniverse RTX Server",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.152+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "676cebc0-61ba-457b-a17f-59b892adb8dd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.12,
            "x": 0.78,
            "y": 0.47
          },
          "kind": "image",
          "text": "EGX A100",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.152+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7ca6e003-cc38-4947-a1b9-5970905c7680",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.16,
            "x": 0.58,
            "y": 0.41
          },
          "kind": "image",
          "text": "DGX A100",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.152+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c4c48a8a-ab21-45cd-aaa1-e3f00c63012d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.15,
            "x": 0.4,
            "y": 0.33
          },
          "kind": "image",
          "text": "NVIDIA AI stack",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Infographic",
              "slug": "infographic",
              "status": "active",
              "canonId": "019de52c-fe26-750c-9d7d-9f34e21324e8",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "infographic",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.152+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "710e9615-f909-4711-a44f-998c13ec2832",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.12,
            "w": 0.12,
            "x": 0.08,
            "y": 0.52
          },
          "kind": "image",
          "text": "Mellanox Technologies",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo",
              "slug": "logo",
              "status": "active",
              "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.152+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4f8b2015-f809-417a-997d-ac26bc3008d6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.32,
            "x": 0.34,
            "y": 0.13
          },
          "kind": "title",
          "text": "GTC 2020 ANNOUNCEMENTS",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:27:59.152+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "62afaa9f-f5e7-4200-992f-0865579c80d0",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 21,
      "type": "setup",
      "title": "The slide is entirely empty, likely a placeholder or background template.",
      "function": "filler",
      "rawType": "filler",
      "block": null,
      "metadata": {
        "slideType": "filler",
        "slideTypeCanon": {
          "name": "Filler",
          "slug": "filler",
          "status": "active",
          "canonId": "019de52d-0829-76f9-9abe-4c11ee7bf4ab",
          "version": 1,
          "description": null
        },
        "function": "filler",
        "functionCanon": {
          "name": "Filler",
          "slug": "filler",
          "status": "active",
          "canonId": "019de52d-1568-702b-ad12-428490978783",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 5,
        "componentCount": 1,
        "textChars": 71,
        "nDataPoints": 0,
        "notes": "The slide is entirely empty, likely a placeholder or background template.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:27:58.456+00",
          "seconds": 1.617,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/21",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-21",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 22,
      "type": "evidence",
      "title": "The slide contrasts legacy CPU-based processing times with GPU-accelerated times, then details the Merlin software stack (NVTabular, HugeCTR, TensorRT, Triton).",
      "function": "present_solution",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 21,
        "componentCount": 3,
        "textChars": 135,
        "nDataPoints": 4,
        "notes": "The slide contrasts legacy CPU-based processing times with GPU-accelerated times, then details the Merlin software stack (NVTabular, HugeCTR, TensorRT, Triton).",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:28:00.002+00",
          "seconds": 2.675,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/22",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-22",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.5,
            "w": 0.34,
            "x": 0.05,
            "y": 0.3
          },
          "kind": "chart",
          "text": "1TB Ads Dataset performance comparison",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Horizontal bar chart",
              "slug": "bar-horizontal",
              "status": "active",
              "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-horizontal",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.002+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3fdcda0f-6b33-417f-8f14-ba5ae5556948",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.65,
            "w": 0.5,
            "x": 0.45,
            "y": 0.25
          },
          "kind": "diagram",
          "text": "NVIDIA Merlin architecture stack",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.002+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8ab11a7e-5233-4ae5-b0bc-6f8a4bb26376",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.07,
            "w": 0.56,
            "x": 0.22,
            "y": 0.08
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA MERLIN — DEEP RECOMMENDER APPLICATION FRAMEWORK",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.002+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "052489a5-37d6-4e63-acb6-3a10b9ec9324",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "fa87c757-5a05-4ecb-b82e-3a9a104ea747",
          "evidence": "The slide features a 'Before' and 'After' section, with a performance comparison and a description of the NVIDIA Merlin architecture.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-17 01:00:55.052001+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 22,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "937ee1d4-9792-42d5-b6cb-de4f56154f87",
          "evidence": "Comparison of CPU vs GPU performance metrics",
          "framework": null,
          "confidence": 0.95,
          "extraction": {
            "at": "2026-05-02 10:28:00.002+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 22,
          "frameworkName": "before-after-framing"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 23,
      "type": "setup",
      "title": "The slide illustrates a pipeline: Pre-trained model -> Re-train (NVIDIA AI Toolkit) -> NVIDIA Jarvis (Triton Inference Server) -> Application.",
      "function": "present_solution",
      "rawType": "propose_solution",
      "block": null,
      "metadata": {
        "slideType": "propose_solution",
        "slideTypeCanon": {
          "name": "Propose solution (contrarian)",
          "slug": "propose_solution",
          "status": "active",
          "canonId": "019de52d-1274-703c-81c6-5550f451697b",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 30,
        "componentCount": 4,
        "textChars": 203,
        "nDataPoints": 0,
        "notes": "The slide illustrates a pipeline: Pre-trained model -> Re-train (NVIDIA AI Toolkit) -> NVIDIA Jarvis (Triton Inference Server) -> Application.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:28:00.196+00",
          "seconds": 2.729,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/23",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-23",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.06,
            "w": 0.17,
            "x": 0.68,
            "y": 0.7
          },
          "kind": "callout",
          "text": "Join Early Access Program developer.nvidia.com/nvidia-jarvis",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.196+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d6104472-2cf2-4009-af97-ff654f217a48",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.5,
            "x": 0.09,
            "y": 0.27
          },
          "kind": "diagram",
          "text": "Workflow from Pre-trained model to NVIDIA Jarvis",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.196+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "57ce5893-feda-4c95-a5fd-45f66283815b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.23,
            "x": 0.65,
            "y": 0.32
          },
          "kind": "image",
          "text": "Meeting room scenario",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.196+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "46b64824-4ffe-4d3b-a7f7-0c068dcf9f3f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.64,
            "x": 0.18,
            "y": 0.08
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA JARVIS — MULTIMODAL CONVERSATIONAL AI SERVICES FRAMEWORK",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.196+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4805b339-52a7-4a9d-ab1b-18bada546f6a",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "f157585b-7e1f-4e94-b172-c3053ec86b10",
          "evidence": "The slide uses a left-to-right flow to show the progression of AI model development and deployment.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 10:28:00.196+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 23,
          "frameworkName": "process"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 24,
      "type": "setup",
      "title": "The slide uses a circular diagram on the left to show the software stack and a process flow diagram on the right to show the data pipeline stages.",
      "function": "present_solution",
      "rawType": "propose_solution",
      "block": null,
      "metadata": {
        "slideType": "propose_solution",
        "slideTypeCanon": {
          "name": "Propose solution (contrarian)",
          "slug": "propose_solution",
          "status": "active",
          "canonId": "019de52d-1274-703c-81c6-5550f451697b",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 23,
        "componentCount": 3,
        "textChars": 258,
        "nDataPoints": 0,
        "notes": "The slide uses a circular diagram on the left to show the software stack and a process flow diagram on the right to show the data pipeline stages.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 10:28:00.788+00",
          "seconds": 3.209,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de50f-b45b-758c-ae28-b329ce7bd428/24",
        "deck": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428",
        "deckAnchor": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428#slide-24",
        "deckJson": "/decks/019de50f-b45b-758c-ae28-b329ce7bd428.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.45,
            "x": 0.45,
            "y": 0.25
          },
          "kind": "diagram",
          "text": "Pipeline flow from ETL to Training to Inference, showing data scale (Peta, Tera, Billions) and NVIDIA acceleration components.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.788+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "aa13daa7-b866-426c-990c-01b915809c34",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.45,
            "w": 0.23,
            "x": 0.11,
            "y": 0.28
          },
          "kind": "image",
          "text": "Circular stack diagram showing Spark 3.0, RAPIDS, CUDA-X, Apache Arrow, and Magnum IO layers.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Infographic",
              "slug": "infographic",
              "status": "active",
              "canonId": "019de52c-fe26-750c-9d7d-9f34e21324e8",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "infographic",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.788+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b1526961-3977-477c-acfd-65a4d756ae14",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.28,
            "x": 0.36,
            "y": 0.08
          },
          "kind": "title",
          "text": "ANNOUNCING NVIDIA ACCELERATES SPARK 3.0",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 10:28:00.788+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d3c4453b-a78f-4793-8373-31a716ab1874",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Flywheel",
            "slug": "flywheel",
            "status": "active",
            "bestFor": null,
            "canonId": "019de52d-1ad8-75ab-9027-a40365590152",
            "version": 1,
            "bodyDocId": null,
            "description": null,
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "b7f24a73-daad-4acf-bca8-58b411b0c0fe",
          "evidence": "Flywheel diagram showing Business Strategy at the center with three surrounding segments: Stable Utility Margins, Efficient Cost Structure, and Low-Risk Growth.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-17 01:00:29.323471+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 24,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "068a10b4-9467-438a-930e-5bd7b47e514a",
          "evidence": "The slide maps the data processing pipeline from ETL to Training to Inference as a value-adding sequence.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 10:28:00.788+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 24,
          "frameworkName": "value-chain"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    }
  ],
  "arcBeats": [],
  "loops": []
}