{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-605d-726d-81a3-45cffd2e9e31", "slug": "bi-018d5a08184e8a4b", "title": "Pitch deck: TensorWave raises $43 million to challenge Nvidia AI dominance", "subtitle": "TensorWave", "author": "TensorWave", "pageCount": 9, "kind": "pitchdeck", "orientation": "landscape", "aspectRatio": 1.775, "document": { "id": "019dd923-605d-726d-81a3-45cffd2e9e31", "slug": "bi-018d5a08184e8a4b", "title": "Pitch deck: TensorWave raises $43 million to challenge Nvidia AI dominance", "rawTitle": "Pitch deck: TensorWave raises $43 million to challenge Nvidia AI dominance", "authorId": "Pitchdecks", "authorName": "TensorWave", "authorDisplay": "TensorWave", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "Tensorwave-bi-018d5.pdf", "sourceUrl": "https://www.businessinsider.com/pitch-deck-tensorwave-safe-funding-nvidia-amd-ai-compute-2024-10", "sourceDate": "2024-10-08 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-27 10:39:24.77+00", "status": "ready", "pageCount": 9, "orientation": "landscape", "aspectRatio": 1.775, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/bi-018d5a08184e8a4b", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 9, "pagesIndexed": 9, "pagesWithImages": 9, "pagesWithMetadata": 9, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 55, "chartCount": 5, "metricSlides": 0, "toolMatches": 5, "documentToolMatches": 0, "frameworkMatches": 1, "arcMatches": 1, "beatMatches": 3, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": true, "pitchdeckProfileAvailable": true }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "evidence": "problem_statement, competitive_analysis, closing_ask", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 21:49:42.551602+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 2, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 2, "name": "Problem", "beatId": "bf554518-ef7e-42b8-b526-77b5309124cd", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Problem (Identify pain)", "slug": "problem-agitate-solution-problem-identify-pain", "status": "active", "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131", "version": 1, "description": null }, "evidence": "The AI Compute Crisis", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 5, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 5, "name": "Agitate", "beatId": "c8396e09-4a50-417a-8dbc-aef235d18592", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Agitate (Make it worse)", "slug": "problem-agitate-solution-agitate-make-it-worse", "status": "active", "canonId": "019dd9b8-0f5a-71dd-bae7-8fadb0d09456", "version": 1, "description": null }, "evidence": "The Rise of Open Source AI", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Development", "slug": "development", "status": "active", "canonId": "019dd9b8-0332-7008-b3aa-11b0840a57b1", "version": 1, "description": "The middle stretch in arcs that have one. Often where length problems creep in." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 9, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 6, "name": "Solution", "beatId": "d953b9c4-2980-41a3-8a7d-aeda60ac54d0", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "Superior LLM Performance, Market Size, The Next Wave of AI Compute", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 5, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "4ecd3f7c-ec6c-4d6f-8b9d-5873b1662b57", "evidence": "The AI Compute Crisis, The Rise of Open Source AI", "position": 0, "objective": "What if we don't address the AI compute crisis?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.685734+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 6, "from": 5, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "b2ee88c6-0dfd-497d-9f5e-12e5a3e6ec4f", "evidence": "The Rise of Open Source AI, Superior LLM Performance", "position": 1, "objective": "Why now is the time for TensorWave", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.719103+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "Call to action", "slug": "call-to-action", "status": "active", "bestFor": null, "canonId": "019dd9e1-4bbb-702a-9ead-82daf188bb7c", "version": 1, "bodyDocId": null, "description": "Explicit prescription of what the audience should do next.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "32e3f7f1-6b4b-4588-8aa0-b84842a2c939", "evidence": "NVIDIA has a monopoly on AI Compute infrastructure.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:42:48.752175+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "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": "84c9c8d4-4a56-4c9c-b53e-aeceadae5b29", "evidence": "The AI Compute Crisis", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:42:48.712983+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": "CEO quote contradiction", "slug": "ceo-quote-contradiction", "status": "active", "bestFor": "When management credibility is the lever", "canonId": "019dd9e1-52e9-717f-8454-93e627563ed6", "version": 1, "bodyDocId": "019dd9a1-8296-720d-8f51-da76937f9415", "description": "You reproduce management's own words — verbatim, with source and date — and\nthen place them next to the outcome that contradicts them. The CEO built\nthe rope; you put it around their own neck.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3f221e06-ef6a-4e3c-9a6f-a902c1adfbeb", "evidence": "Dr. Lisa Su, Chair and CEO, AMD", "pageRefs": null, "priority": null, "whenToUse": "When management credibility is the lever", "confidence": 0.9, "extraction": { "at": "2026-07-16 22:42:48.827472+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": "- **Maximum credibility**: no adjective you could write is as damning as the\n target's own prior statement.\n- **No rebuttal path**: management can't argue they didn't say it.\n- **It forces accountability onto a person**, not an institution — even if\n you aren't explicitly naming a villain elsewhere.\n- **Reporters amplify it**. A CEO-quote-contradiction slide is quotable,\n which means it lands in WSJ/FT/Bloomberg coverage.", "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": "9fb81d7a-3fc3-44d7-b97b-dcbdab8c83e9", "evidence": "TensorWave at a Glance", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:42:48.904205+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Storytelling: the closing ask", "slug": "closing-ask", "status": "active", "bestFor": null, "canonId": "019df269-24e0-70ab-8dd9-983832c1c665", "version": 1, "bodyDocId": "019df269-24bc-7554-b88d-245127606b8d", "description": "The single most important slide in the deck — after the cover. The final", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "932da03f-ee65-4105-b270-6fdd0f5f2c03", "evidence": "The Next Wave of AI Compute", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:42:49.132724+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": "85b8de51-8675-48e8-9b25-7bde2f06c87f", "evidence": "Direct comparison of performance metrics and hardware specs between two competing products.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 15:55:31.368+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "frameworkName": "comparison-frame" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": { "author": "Riddhi Kanetkar", "fireId": "bi-018d5a08184e8a4b", "sector": null, "deckKind": "fundraise", "roundRaw": null, "amountRaw": "$43 million", "amountUsd": "43000000", "scrapedAt": "2026-04-27 10:39:24.77+00", "sectorRaw": null, "sourceUrl": "https://www.businessinsider.com/pitch-deck-tensorwave-safe-funding-nvidia-amd-ai-compute-2024-10", "deckKindAt": "2026-04-28 07:19:06+00", "highlights": "TensorWave wants to challenge Nvidia's dominance in AI compute by offering alternative GPU hardware from AMD that is accessible via the cloud.", "slideCount": 9, "companyName": "Tensorwave", "description": "TensorWave wants to challenge Nvidia's dominance in AI compute by offering alternative GPU hardware from AMD that is accessible via the cloud.", "displayName": "TensorWave", "publishDate": "2024-10-08", "roundSeries": null, "articleTitle": "Pitch deck: TensorWave raises $43 million to challenge Nvidia AI dominance", "leadInvestors": null, "deckKindSignal": "raises", "metaExtractedAt": "2026-04-28 07:16:02+00" }, "profile": { "scores": { "yc": 0.4774, "a16z": 0.3119, "docsend": 0.3476, "hoffman": 0.5, "mcclure": 0.3619, "sequoia": 0.461, "kawasaki": 0.2667, "nextview": 0.2872, "slidebean": 0.3476, "founder_institute": 0.4 }, "nSlides": 9, "sequence": [ "cover", "problem_statement", "quote_slide", "executive_summary", "why_now", "competitive_analysis", "team_bio", "market_sizing", "closing_ask" ], "breakdown": { "yc": { "order": 0.5556, "signal": 0.08, "jaccard": 0.4615 }, "a16z": { "order": 0.4444, "signal": 0, "jaccard": 0.3571 }, "docsend": { "order": 0.4444, "signal": 0, "jaccard": 0.4286 }, "hoffman": { "order": 0.6667, "signal": 0.05, "jaccard": 0.5 }, "mcclure": { "order": 0.4444, "signal": 0.05, "jaccard": 0.3571 }, "sequoia": { "order": 0.5556, "signal": 0.08, "jaccard": 0.4286 }, "kawasaki": { "order": 0.4444, "signal": 0, "jaccard": 0.2667 }, "nextview": { "order": 0.4444, "signal": 0, "jaccard": 0.3077 }, "slidebean": { "order": 0.4444, "signal": 0, "jaccard": 0.4286 }, "founder_institute": { "order": 0.5556, "signal": 0, "jaccard": 0.4667 } }, "matchedAt": "2026-04-27 21:51:54+00", "noveltyScore": 0.65, "primaryScore": 0.5, "noveltySignals": [ "rare slide types: why_now", "non-canonical types: quote_slide" ], "primaryProfile": "hoffman", "secondaryScore": 0.4774, "secondaryProfile": "yc" } }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/IaKMMknxVOF5qVS4sPDmTHDCxOFK9n0h2oxUn3AnvmU/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0wMThkNWEwODE4NGU4YTRiL3AwMDEuanBn", "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": 5, "componentCount": 2, "textChars": 40, "nDataPoints": 0, "notes": null, "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:29.794+00", "seconds": 2.241, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/1", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-1", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.45, "x": 0.05, "y": 0.4 }, "kind": "title", "text": "The Next Wave of AI Compute", "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 15:55:29.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a5b77bec-6940-4689-8e67-b439242a7c4d", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.82, "y": 0.82 }, "kind": "title", "text": "INVESTOR DECK", "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 15:55:29.794+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "969aa661-dfbc-4d76-b410-532cc7e6c277", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/A8knKE8G-6F1G0f_yNnCw_Ugx6A4Au_ai_DFbv3kcVk/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0wMThkNWEwODE4NGU4YTRiL3AwMDEuanBn", "imagePathAlt": "https://imgproxy.kitesheet.com/d4rUHSt7aRD6tLAsAuljlgJbmGbjsG1Z0fUyz3YB7y0/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0wMThkNWEwODE4NGU4YTRiL3AwMDEucG5n", "thumbSrcAlt": "https://imgproxy.kitesheet.com/HPmTR4YgS75gu2xv0rEsLS1nCGtmXMb1WLKNlNnN8H8/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9iaS0wMThkNWEwODE4NGU4YTRiL3AwMDEucG5n" }, { "page": 2, "type": "tension", "title": "Uses a two-column layout to contrast two core aspects of the problem.", "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": 63, "componentCount": 7, "textChars": 436, "nDataPoints": 0, "notes": "Uses a two-column layout to contrast two core aspects of the problem.", "elementsJson": [ "headline_text", "callout_box", "bullet_list", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:30.685+00", "seconds": 2.87, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/2", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-2", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.4, "x": 0.55, "y": 0.2 }, "kind": "callout", "text": "NVIDIA's supply constraints limit AI industry growth", "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 15:55:30.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "191ed773-e99f-420a-8f95-9c2cbd218863", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "callout", "text": "NVIDIA has a monopoly on AI Compute infrastructure.", "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 15:55:30.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ad64d640-cbe1-4679-97a6-8af267f64ba1", "parentComponentId": null }, { "bbox": null, "kind": "callout", "text": "NVIDIA has a monopoly on AI Compute infrastructure. NVIDIA's supply constraints limit AI industry growth.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:42+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff1-17c4e39d1b27", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.05, "y": 0.65 }, "kind": "list", "text": "Too much complexity in distributing workloads; Difficult to scale; Lack of choice in networking protocols", "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 15:55:30.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0863b375-f254-4a33-aa67-7e0ef853e26b", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.55, "y": 0.65 }, "kind": "list", "text": "Massive unmet demand for AI compute; Cloud providers booking for 2025; Long lead times", "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 15:55:30.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2355774e-0924-402c-a127-b17588caaafd", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.25, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Problem Overview", "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 15:55:30.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d5d48238-8143-4660-8a3f-ac46e059d719", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "The AI Compute Crisis", "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 15:55:30.685+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "58dec70b-92bd-4795-9504-071bdeb1dfa1", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Call to action", "slug": "call-to-action", "status": "active", "bestFor": null, "canonId": "019dd9e1-4bbb-702a-9ead-82daf188bb7c", "version": 1, "bodyDocId": null, "description": "Explicit prescription of what the audience should do next.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "32e3f7f1-6b4b-4588-8aa0-b84842a2c939", "evidence": "NVIDIA has a monopoly on AI Compute infrastructure.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:42:48.752175+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "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": "84c9c8d4-4a56-4c9c-b53e-aeceadae5b29", "evidence": "The AI Compute Crisis", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:42:48.712983+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": [ { "to": 2, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 2, "name": "Problem", "beatId": "bf554518-ef7e-42b8-b526-77b5309124cd", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Problem (Identify pain)", "slug": "problem-agitate-solution-problem-identify-pain", "status": "active", "canonId": "019dd9b8-0e78-74bb-b8f6-54348367a131", "version": 1, "description": null }, "evidence": "The AI Compute Crisis", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 5, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4ecd3f7c-ec6c-4d6f-8b9d-5873b1662b57", "evidence": "The AI Compute Crisis, The Rise of Open Source AI", "position": 0, "objective": "What if we don't address the AI compute crisis?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.685734+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 3, "type": "tension", "title": "The slide features a photo of Dr. Lisa Su at an AMD event, with a callout to the MI300X launch partners.", "function": "cite_precedent", "rawType": "ceo_quote", "block": null, "metadata": { "slideType": "ceo_quote", "slideTypeCanon": { "name": "CEO quote", "slug": "ceo_quote", "status": "active", "canonId": "019de52d-09b6-71c8-93a5-f90a9772a8fa", "version": 1, "description": null }, "function": "cite_precedent", "functionCanon": { "name": "Cite precedent", "slug": "cite_precedent", "status": "active", "canonId": "019de52d-142b-714b-86d4-58aad7b568ec", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 6, "textChars": 616, "nDataPoints": 0, "notes": "The slide features a photo of Dr. Lisa Su at an AMD event, with a callout to the MI300X launch partners.", "elementsJson": [ "quote_block", "photo", "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:31.124+00", "seconds": 3.241, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/3", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-3", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "What's important about this is it will actually make it easier for developers and AI startups to get access to MI300X GPUs as soon as possible with a proven set of providers.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:43+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff1-878f0b93af66", "parentComponentId": null }, { "bbox": { "h": 0.77, "w": 0.5, "x": 0.42, "y": 0.258 }, "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 15:55:31.124+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3322596c-e693-47e8-9c3c-533709d31f87", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.5, "y": 0.82 }, "kind": "legend", "text": "OFFICIAL MI300X LAUNCH PARTNER", "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 15:55:31.124+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e5058e66-d58f-4262-a804-bc34267db7a9", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.09, "y": 0.75 }, "kind": "paragraph", "text": "DR. LISA SU\nCHAIR AND CEO, AMD", "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 15:55:31.124+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "72763a88-27b8-49d1-83ae-dfa9245e301b", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.36, "x": 0.09, "y": 0.38 }, "kind": "quote", "text": "What’s important about this is it will actually make it easier for developers and AI startups to get access to MI300X GPUs as soon as possible with a proven set of providers.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52c-fc21-71b6-9ac3-8266a64945e8", "version": 1, "description": null }, "framework": null }, "subkind": "testimonial", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 15:55:31.124+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8c669de0-d0b2-4820-8a0b-60fc686fec98", "parentComponentId": null }, { "bbox": null, "kind": "quote", "text": "What's important about this is it will actually make it easier for developers and AI startups to get access to MI300X GPUs as soon as possible with a proven set of providers. — Dr. Lisa Su, Chair and CEO, AMD", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:43+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff1-89d21d5a8b03", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "CEO quote contradiction", "slug": "ceo-quote-contradiction", "status": "active", "bestFor": "When management credibility is the lever", "canonId": "019dd9e1-52e9-717f-8454-93e627563ed6", "version": 1, "bodyDocId": "019dd9a1-8296-720d-8f51-da76937f9415", "description": "You reproduce management's own words — verbatim, with source and date — and\nthen place them next to the outcome that contradicts them. The CEO built\nthe rope; you put it around their own neck.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "3f221e06-ef6a-4e3c-9a6f-a902c1adfbeb", "evidence": "Dr. Lisa Su, Chair and CEO, AMD", "pageRefs": null, "priority": null, "whenToUse": "When management credibility is the lever", "confidence": 0.9, "extraction": { "at": "2026-07-16 22:42:48.827472+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": "- **Maximum credibility**: no adjective you could write is as damning as the\n target's own prior statement.\n- **No rebuttal path**: management can't argue they didn't say it.\n- **It forces accountability onto a person**, not an institution — even if\n you aren't explicitly naming a villain elsewhere.\n- **Reporters amplify it**. A CEO-quote-contradiction slide is quotable,\n which means it lands in WSJ/FT/Bloomberg coverage.", "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [ { "to": 5, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4ecd3f7c-ec6c-4d6f-8b9d-5873b1662b57", "evidence": "The AI Compute Crisis, The Rise of Open Source AI", "position": 0, "objective": "What if we don't address the AI compute crisis?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.685734+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "setup", "title": "The slide uses a dark-themed, high-tech aesthetic with geometric containers for content blocks.", "function": "summarize", "rawType": "executive_summary", "block": null, "metadata": { "slideType": "executive_summary", "slideTypeCanon": { "name": "Executive summary", "slug": "executive_summary", "status": "active", "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e", "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": 67, "componentCount": 7, "textChars": 535, "nDataPoints": 0, "notes": "The slide uses a dark-themed, high-tech aesthetic with geometric containers for content blocks.", "elementsJson": [ "headline_text", "action_title", "bullet_list", "callout_box", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:31.058+00", "seconds": 3.092, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/4", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-4", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "GPU Accelerator shortage has starved hyperscalers and enterprises of GPU Compute Capacity.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:42+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff1-72b107608169", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.38, "y": 0.68 }, "kind": "image", "text": "Edgecore", "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 15:55:31.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1df68067-ba7a-4fab-b55b-3cc864dc6201", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.52, "y": 0.22 }, "kind": "list", "text": "THE MARKET IS HERE AND NEEDS A UNIQUE SOLUTION: GPU Accelerator shortage; Shortage Expected to Continue; Buyers desperately need an alternative for AI compute infrastructure.", "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 15:55:31.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6bb5cfaf-a415-486f-821f-695bdcf4b30c", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.05, "y": 0.22 }, "kind": "list", "text": "ABOUT TENSORWAVE: Building the disruptive AMD GPU Cloud; AMD MI300X Launch Partner; Inference Superiority & First RoCE v2 Clusters; Dominant Inference Performance; Building Reference Architectures.", "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 15:55:31.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6bc899df-50e9-4567-99e9-56c04305d791", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.3, "x": 0.05, "y": 0.11 }, "kind": "title", "text": "The Next Wave of AI Compute", "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 15:55:31.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bcbe2a0c-44ea-4c81-b317-0b7ebec8e855", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.35, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "TensorWave at a Glance", "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 15:55:31.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "adeb0bb1-0f3e-43f3-ae25-a80989dfbce5", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.15, "x": 0.27, "y": 0.6 }, "kind": "title", "text": "STRATEGIC PARTNER", "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 15:55:31.058+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "43acb0cc-e197-4677-8eee-589c2880c4fd", "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": "9fb81d7a-3fc3-44d7-b97b-dcbdab8c83e9", "evidence": "TensorWave at a Glance", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:42:48.904205+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [ { "to": 5, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4ecd3f7c-ec6c-4d6f-8b9d-5873b1662b57", "evidence": "The AI Compute Crisis, The Rise of Open Source AI", "position": 0, "objective": "What if we don't address the AI compute crisis?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.685734+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "setup", "title": "The chart shows the rise of PyTorch over TensorFlow and the specific claim of AMD ROCm compatibility.", "function": "argue_timing", "rawType": "why_now", "block": null, "metadata": { "slideType": "why_now", "slideTypeCanon": { "name": "Why now", "slug": "why_now", "status": "active", "canonId": "019de52d-0f2e-718d-b8ad-256dd87582d0", "version": 1, "description": null }, "function": "argue_timing", "functionCanon": { "name": "Argue timing (why now)", "slug": "argue_timing", "status": "active", "canonId": "019de52d-16f8-74de-9ec2-900be07d90dd", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 79, "componentCount": 8, "textChars": 619, "nDataPoints": 2, "notes": "The chart shows the rise of PyTorch over TensorFlow and the specific claim of AMD ROCm compatibility.", "elementsJson": [ "action_title", "bullet_list", "area_chart", "big_number" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:31.83+00", "seconds": 3.728, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/5", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-5", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "You can now switch back and forth between AMD and NVIDIA backed infrastructure within a single training run!", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:41+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff0-36c80a7a6828", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.4, "x": 0.52, "y": 0.2 }, "kind": "chart", "text": "Chart showing percentage of repositories by framework over time (2018-2023)", "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": "Stacked area chart", "slug": "area-stacked", "status": "active", "canonId": "019de52c-ffb1-75fa-a614-76782f418cf1", "version": 1, "description": null }, "framework": null }, "subkind": "area-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 15:55:31.83+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3d1e73ba-d163-4182-a766-f24176198373", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.4, "x": 0.05, "y": 0.2 }, "kind": "list", "text": "The default software stack for machine learning models is now solidly PyTorch or others. No code changes required to run on AMD backed cloud. You can now switch back and forth between AMD and NVIDIA backed infrastructure within a single training run!", "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 15:55:31.83+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "63b82bf6-4a95-4ac7-8e4e-a79b8f463f63", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.52, "y": 0.05 }, "kind": "metric", "text": "92% + OF MODELS AVAILABLE ON HUGGING FACE ARE PYTORCH EXCLUSIVE", "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 15:55:31.83+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "09886e24-ea3d-4941-85cb-6f820145e07a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.75, "y": 0.05 }, "kind": "metric", "text": "74% + PYTORCH/TENSORFLOW MACHINE LEARNING PAPERS IN 2023", "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 15:55:31.83+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f69ff29d-26e0-4e5a-9166-fefb4edf2710", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "PyTorch adoption: 92%", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:41+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff0-3ae71324dd31", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.25, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Breaking CUDA's Grip", "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 15:55:31.83+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "57192cf1-8729-4c74-919a-4edae5769053", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "The Rise of Open Source 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 15:55:31.83+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9765882f-b5be-48dc-9b59-16982b51b7d9", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 5, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 5, "name": "Agitate", "beatId": "c8396e09-4a50-417a-8dbc-aef235d18592", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Agitate (Make it worse)", "slug": "problem-agitate-solution-agitate-make-it-worse", "status": "active", "canonId": "019dd9b8-0f5a-71dd-bae7-8fadb0d09456", "version": 1, "description": null }, "evidence": "The Rise of Open Source AI", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Development", "slug": "development", "status": "active", "canonId": "019dd9b8-0332-7008-b3aa-11b0840a57b1", "version": 1, "description": "The middle stretch in arcs that have one. Often where length problems creep in." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 5, "from": 2, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "4ecd3f7c-ec6c-4d6f-8b9d-5873b1662b57", "evidence": "The AI Compute Crisis, The Rise of Open Source AI", "position": 0, "objective": "What if we don't address the AI compute crisis?", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.685734+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 6, "from": 5, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "b2ee88c6-0dfd-497d-9f5e-12e5a3e6ec4f", "evidence": "The Rise of Open Source AI, Superior LLM Performance", "position": 1, "objective": "Why now is the time for TensorWave", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.719103+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 6, "type": "setup", "title": "The slide uses a combination of bar charts for performance metrics and a comparison table for hardware specifications.", "function": "compare_peers", "rawType": "competitive_analysis", "block": null, "metadata": { "slideType": "competitive_analysis", "slideTypeCanon": { "name": "Competitive analysis", "slug": "competitive_analysis", "status": "active", "canonId": "019de52d-093e-776b-94c6-c1573f5f1a31", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 72, "componentCount": 7, "textChars": 454, "nDataPoints": 11, "notes": "The slide uses a combination of bar charts for performance metrics and a comparison table for hardware specifications.", "elementsJson": [ "headline_text", "subtitle_text", "bullet_list", "bar_chart_grouped", "comparison_table" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:31.368+00", "seconds": 3.149, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/6", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-6", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "AMD's MI300X is the \"highest performing accelerator in the world.\"", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:41+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff0-51b8565aa184", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.48, "y": 0.15 }, "kind": "chart", "text": "Performance comparison chart showing latency improvement and latency metrics.", "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": "Grouped bar chart", "slug": "bar-grouped", "status": "active", "canonId": "019de52c-ff3b-751e-a8ff-f21ff11097b1", "version": 1, "description": null }, "framework": null }, "subkind": "bar-grouped", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 15:55:31.368+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "162cc538-78c3-4212-a7eb-71aa93138357", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.4, "x": 0.05, "y": 0.18 }, "kind": "list", "text": "AMD's MI300X is the \"highest performing accelerator in the world.\" 1.4x times (vs H100) better performance with Meta's Llama 2, a 70 billion parameter LLM.", "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 15:55:31.368+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "008819b7-a061-4c5a-ba79-8d3379ea9c0d", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "FP16 Latency Improvement: 2.1x", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:41+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff0-5780793a68ec", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.45, "x": 0.48, "y": 0.6 }, "kind": "table", "text": "Chip Specs comparison table between NVIDIA H100 SXM and AMD MI300X.", "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": null, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 15:55:31.368+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1182fb1f-b7ae-4317-9bee-19a4e8cc7dd4", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Superior LLM Performance", "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 15:55:31.368+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "65e02081-e4cc-47c0-acbf-b3a442189423", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.35, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "Powered by AMD Instinct MI300X GPUs", "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 15:55:31.368+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8f3ecba1-925e-4b5e-9cdb-7e3f26e4d961", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "85b8de51-8675-48e8-9b25-7bde2f06c87f", "evidence": "Direct comparison of performance metrics and hardware specs between two competing products.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 15:55:31.368+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 6, "frameworkName": "comparison-frame" } ], "arcBeats": [ { "to": 9, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 6, "name": "Solution", "beatId": "d953b9c4-2980-41a3-8a7d-aeda60ac54d0", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "Superior LLM Performance, Market Size, The Next Wave of AI Compute", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 6, "from": 5, "loop": { "name": "15_why_now", "slug": "15-why-now", "status": "active", "bestFor": "Sales pitches, fundraising, requesting immediate budget approval", "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity", "description": "Create temporal urgency by proving that the window of opportunity is opening or closing", "familyLabel": null }, "matchId": "b2ee88c6-0dfd-497d-9f5e-12e5a3e6ec4f", "evidence": "The Rise of Open Source AI, Superior LLM Performance", "position": 1, "objective": "Why now is the time for TensorWave", "confidence": 0.6, "extraction": { "at": "2026-07-16 21:49:42.719103+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 7, "type": "setup", "title": "Includes a sidebar highlighting a specific achievement (largest tech startup in Nevada) and a logo bar at the bottom.", "function": "other", "rawType": "team_bio", "block": null, "metadata": { "slideType": "team_bio", "slideTypeCanon": { "name": "Team bio", "slug": "team_bio", "status": "active", "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e", "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": "dense", "densityScore": 74, "componentCount": 9, "textChars": 400, "nDataPoints": 2, "notes": "Includes a sidebar highlighting a specific achievement (largest tech startup in Nevada) and a logo bar at the bottom.", "elementsJson": [ "headline_text", "action_title", "headshot", "bullet_list", "logo_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:31.471+00", "seconds": 3.201, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/7", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-7", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.3, "x": 0.65, "y": 0.15 }, "kind": "callout", "text": "Built the Largest Tech Startup in Nevada By Valuation", "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 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "87b08d18-c926-4918-8412-6d5041a5871e", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.1, "x": 0.05, "y": 0.18 }, "kind": "image", "text": "Darrick Horton", "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": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "63daf8b2-959b-4154-aa1f-dab617013a5e", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.1, "x": 0.39, "y": 0.18 }, "kind": "image", "text": "Jeff Tatarchuk", "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": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "94fb7609-7938-44cb-9d84-80488fd22cbb", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.1, "x": 0.22, "y": 0.18 }, "kind": "image", "text": "Piotr Tomasik", "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": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c05dd329-18f7-4208-9f87-708894f3051a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.9, "x": 0.05, "y": 0.85 }, "kind": "image", "text": "Meta, PayPal, Venmo, IBM, Lockheed Martin", "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 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c0287782-1a21-4401-a33f-0031c342b0c1", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.3, "x": 0.65, "y": 0.4 }, "kind": "list", "text": "Six (6) companies founded across team; $65M+ raised across previous ventures; Decades of experience delivering Cloud, AI/ML, B2B SaaS, FinTech Solutions to Fortune 500 customers", "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 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "00909662-96e9-4f2a-b7f3-976981fd3c75", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Capital raised: $65M+", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:46+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff4-c382430c8352", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "A Proven and Successful Team", "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 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "accfff54-bc5d-4a4f-b897-ba6cb52dd2d9", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.05, "y": 0.1 }, "kind": "title", "text": "We Build Successful Teams and Companies", "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 15:55:31.471+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a19e1314-8a98-4bc6-8e37-19af4d9b85b2", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 6, "name": "Solution", "beatId": "d953b9c4-2980-41a3-8a7d-aeda60ac54d0", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "Superior LLM Performance, Market Size, The Next Wave of AI Compute", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 8, "type": "resolution", "title": "The slide uses a consistent visual style with three step-charts to convey market momentum.", "function": "size_opportunity", "rawType": "market_sizing", "block": null, "metadata": { "slideType": "market_sizing", "slideTypeCanon": { "name": "Market sizing", "slug": "market_sizing", "status": "active", "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "dense", "densityScore": 55, "componentCount": 6, "textChars": 234, "nDataPoints": 24, "notes": "The slide uses a consistent visual style with three step-charts to convey market momentum.", "elementsJson": [ "bar_chart_vertical", "bar_chart_vertical", "bar_chart_vertical" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:31.277+00", "seconds": 2.788, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/8", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-8", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Global AI market to cross 1 Trillion by 2028", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:43+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff1-e7569807d514", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.28, "x": 0.05, "y": 0.15 }, "kind": "chart", "text": "Global AI market to cross 1 Trillion by 2028", "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 15:55:31.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4ef80953-a752-4490-a03e-be0c92a193e8", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.28, "x": 0.67, "y": 0.15 }, "kind": "chart", "text": "Market Revenue for AI Processors and Data Centers is Soaring", "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 15:55:31.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5a83febb-a4b8-4b26-ba2b-809889262277", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.28, "x": 0.36, "y": 0.15 }, "kind": "chart", "text": "Expect More Increases in AI Investments in US and Worldwide", "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 15:55:31.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f451fd83-7936-4639-ab5a-04cb4d5974fe", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "TAM: $1 Trillion", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 14:50:43+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-abe6-772a-8ff1-eb84366edb83", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Market Size", "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 15:55:31.277+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bdd54d24-7326-4f29-aa38-c7fdca1cadcd", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 9, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 6, "name": "Solution", "beatId": "d953b9c4-2980-41a3-8a7d-aeda60ac54d0", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "Superior LLM Performance, Market Size, The Next Wave of AI Compute", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 9, "type": "setup", "title": "This slide serves as a contact/closing page.", "function": "state_next_steps", "rawType": "closing_ask", "block": null, "metadata": { "slideType": "closing_ask", "slideTypeCanon": { "name": "Closing ask", "slug": "closing_ask", "status": "active", "canonId": "019de52d-0aa4-750f-8aa1-8d622dd99f5c", "version": 1, "description": null }, "function": "state_next_steps", "functionCanon": { "name": "State next steps", "slug": "state_next_steps", "status": "active", "canonId": "019de52d-14ca-70ac-b534-971f458cdf29", "version": 1, "description": null }, "density": "sparse", "densityScore": 15, "componentCount": 3, "textChars": 130, "nDataPoints": 0, "notes": "This slide serves as a contact/closing page.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:55:34.045+00", "seconds": 5.434, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/9", "deck": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31", "deckAnchor": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-9", "deckJson": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.2, "x": 0.55, "y": 0.55 }, "kind": "paragraph", "text": "Piotr Tomasik CO-FOUNDER, COO piotr@tensorwave.com", "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 15:55:34.045+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1a662ed0-4baf-4bfe-bb10-72e13408f1e7", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.25, "y": 0.55 }, "kind": "paragraph", "text": "Darrick Horton CO-FOUNDER, CEO darrick@tensorwave.com", "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 15:55:34.045+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "265cc271-38b2-4ead-b70c-a9744ad1a03d", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.5, "x": 0.25, "y": 0.25 }, "kind": "title", "text": "The Next Wave of AI Compute", "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 15:55:34.045+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7969a87c-edb7-4a31-bfdb-bfbdc402aa25", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Storytelling: the closing ask", "slug": "closing-ask", "status": "active", "bestFor": null, "canonId": "019df269-24e0-70ab-8dd9-983832c1c665", "version": 1, "bodyDocId": "019df269-24bc-7554-b88d-245127606b8d", "description": "The single most important slide in the deck — after the cover. The final", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "932da03f-ee65-4105-b270-6fdd0f5f2c03", "evidence": "The Next Wave of AI Compute", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:42:49.132724+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": [], "arcBeats": [ { "to": 9, "arc": { "name": "Problem-Agitate-Solution", "slug": "problem-agitate-solution", "status": "active", "bestFor": "Sales pitches, urgency-driven, competitive displacement", "canonId": "019dd956-5ec6-70f9-9fd8-fdbaaff39acf", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem (Identify pain) -> Agitate (Make it worse) -> Solution (Provide relief)", "description": null, "familyLabel": null }, "from": 6, "name": "Solution", "beatId": "d953b9c4-2980-41a3-8a7d-aeda60ac54d0", "matchId": "38e35596-889a-42cd-9913-076aff38cb7e", "beatType": { "name": "Solution (Provide relief)", "slug": "problem-agitate-solution-solution-provide-relief", "status": "active", "canonId": "019dd9b8-0fee-73e9-9ae5-799c7f3895cd", "version": 1, "description": null }, "evidence": "Superior LLM Performance, Market Size, The Next Wave of AI Compute", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true } ], "arcBeats": [ { "from": 2, "to": 2, "label": "Problem", "description": "The AI Compute Crisis" }, { "from": 5, "to": 5, "label": "Agitate", "description": "The Rise of Open Source AI" }, { "from": 6, "to": 9, "label": "Solution", "description": "Superior LLM Performance, Market Size, The Next Wave of AI Compute" } ], "loops": [ { "from": 2, "to": 5, "label": "Cost Of Inaction", "description": "What if we don't address the AI compute crisis?" }, { "from": 5, "to": 6, "label": "Why Now", "description": "Why now is the time for TensorWave" } ] }