{
  "docId": "019de50f-b3cf-777b-aa0f-57eed5531e94",
  "docSlug": "a80aacdfa90edb499864db5179157313",
  "documentTitle": "NVIDIA | Investor Day Presentation Deck | 97 slides",
  "authorId": "nvidia",
  "authorName": "NVIDIA",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2020-05-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 2.4870467,
  "pageNumber": 39,
  "pageCount": 97,
  "prevPage": 38,
  "nextPage": 40,
  "slideType": "propose_solution",
  "function": "present_solution",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide uses a process flow diagram to illustrate the integration of NVIDIA hardware acceleration into the Databricks stack.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de50f-b3cf-777b-aa0f-57eed5531e94/39",
  "deckHref": "/decks/019de50f-b3cf-777b-aa0f-57eed5531e94",
  "deckJsonHref": "/decks/019de50f-b3cf-777b-aa0f-57eed5531e94.json",
  "deckAnchorHref": "/decks/019de50f-b3cf-777b-aa0f-57eed5531e94#slide-39",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.45,
        "x": 0.45,
        "y": 0.25
      },
      "kind": "diagram",
      "text": "ETL, Training, and Inference pipeline flow",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0b32fe28-044d-484a-a493-c1e97ac7f7f8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.15,
        "x": 0.16,
        "y": 0.43
      },
      "kind": "image",
      "text": "Databricks logo",
      "attrs": null,
      "subkind": "logo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "676b1817-884a-4967-9e04-79e0c5a47692",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.21,
        "x": 0.13,
        "y": 0.58
      },
      "kind": "quote",
      "text": "These contributions lead to faster data pipelines, model training and scoring for more breakthroughs and insights with Apache Spark 3.0 and Databricks.",
      "attrs": null,
      "subkind": "testimonial",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "15b32e2f-dd01-4399-a85f-8c2cc12534ff",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.34,
        "x": 0.33,
        "y": 0.08
      },
      "kind": "title",
      "text": "ANNOUNCING DATABRICKS ACCELERATED WITH NVIDIA",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1f175d19-5096-4988-b9f8-39ce6ad43394",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "process",
      "slug": null,
      "matchId": "0884bb56-1490-4429-bd67-ce455bce278f",
      "evidence": "The slide depicts a linear flow of data through ETL, Training, and Inference stages.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [
    {
      "to": 40,
      "from": 29,
      "beatId": "1dff4969-5948-4aeb-baa3-b0aa9ab74896",
      "arcName": "The Sparkline",
      "arcSlug": "sparkline",
      "beatName": "Propose Solution",
      "beatSlug": null,
      "evidence": "The deck presents NVIDIA's solutions such as RTX, Omniverse, and accelerated Spark 3.0.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}