{
  "docId": "019de510-3cb7-710c-a554-bc0e678b52b5",
  "docSlug": "a11daa20b53aa56d9291be8f9a8786d5",
  "documentTitle": "NVIDIA | Investor Presentation Deck | 69 slides",
  "authorId": "nvidia",
  "authorName": "NVIDIA",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2020-12-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 45,
  "pageCount": 69,
  "prevPage": 44,
  "nextPage": 46,
  "slideType": "key_takeaways",
  "function": "summarize",
  "density": "overcrowded",
  "nDataPoints": 8,
  "notes": "The slide uses a three-column layout to summarize the platform architecture, performance metrics, and downstream analytics.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de510-3cb7-710c-a554-bc0e678b52b5/45",
  "deckHref": "/decks/019de510-3cb7-710c-a554-bc0e678b52b5",
  "deckJsonHref": "/decks/019de510-3cb7-710c-a554-bc0e678b52b5.json",
  "deckAnchorHref": "/decks/019de510-3cb7-710c-a554-bc0e678b52b5#slide-45",
  "components": [
    {
      "bbox": {
        "h": 0.44,
        "w": 0.29,
        "x": 0.35,
        "y": 0.353
      },
      "kind": "chart",
      "text": "GPU Accelerated Variant Callers Execution Time in Hrs",
      "attrs": null,
      "subkind": "bar-grouped",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "16e25d0a-8eba-4632-b6f4-c7fc7b88064a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.44,
        "w": 0.28,
        "x": 0.04,
        "y": 0.353
      },
      "kind": "diagram",
      "text": "NVIDIA Clara Parabricks Pipelines architecture",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9c8c89ee-92de-4641-8966-41052cd3d8f9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.44,
        "w": 0.29,
        "x": 0.66,
        "y": 0.353
      },
      "kind": "image",
      "text": "Analytics at Scale visualization",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3ddddde3-b06f-43ce-b9d9-18bdd07d86c0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.29,
        "x": 0.66,
        "y": 0.8
      },
      "kind": "paragraph",
      "text": "ANALYTICS AT SCALE: GWAS & Single Cell, NVIDIA RAPIDS GPU Data Science",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1f8c5ff2-562a-4782-9d2a-691b667e790d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.28,
        "x": 0.04,
        "y": 0.8
      },
      "kind": "paragraph",
      "text": "ACCELERATED BEST PRACTICES: Industry Standard GATK Pipelines, Germline, Somatic, RNA-Seq, 30x Faster WGS, 12x Faster WES",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "40da5f93-17c5-4a5c-bfda-a860ad0bd2c6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.29,
        "x": 0.35,
        "y": 0.8
      },
      "kind": "paragraph",
      "text": "DETECTING DIVERSITY OF VARIANTS: DeepVariant, Multiple Somatic Callers, Days -> 1Hr",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f7639eba-b2e4-45d4-8be6-9c52751c4bb6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.46,
        "x": 0.27,
        "y": 0.11
      },
      "kind": "title",
      "text": "Improving Accuracy, Speed, and Scale of Computational Genomics",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5f2bf097-1bb7-4756-9ce1-383781f5f9ca",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.26,
        "x": 0.37,
        "y": 0.07
      },
      "kind": "title",
      "text": "NVIDIA Clara Parabricks",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6af3d461-2b76-47e7-a1d5-9dad1bfc459c",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Chart Selection Guide",
      "slug": "chart-selection-guide",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "52c12f9a-d708-4dd7-ab74-82a05ff4c38f",
      "evidence": "chart/bar-grouped: GPU Accelerated Variant Callers Execution Time in Hrs",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [],
  "loops": [
    {
      "to": 50,
      "from": 44,
      "name": "Quick Win Big Bet",
      "slug": "47-quick-win-big-bet",
      "bestFor": "Transformation planning, 100-day plans, resource allocation",
      "matchId": "ffba5059-bcb5-4301-9237-570357726125",
      "evidence": "The deck presents the potential for growth and the benefits of NVIDIA's solutions in various industries.",
      "position": 1,
      "objective": "Showcasing the potential for growth",
      "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
      "confidence": 0.6,
      "description": "Separate initiatives into immediate wins and longer-term strategic bets"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}