{
  "docId": "019dd923-5eff-723e-9be4-84f0db6b567e",
  "docSlug": "5d56f1c3f1c4a796",
  "documentTitle": "2023 Q4FY23 Investor Presentation",
  "authorId": "NVIDIA",
  "authorName": "NVIDIA",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 36,
  "pageCount": 57,
  "prevPage": 35,
  "nextPage": 37,
  "slideType": "financial_analysis",
  "function": "quantify_impact",
  "density": "dense",
  "nDataPoints": 10,
  "notes": "The chart combines a bar chart for Gross Profit ($M) and a line chart for Gross Margin (%).",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "bar_chart_grouped",
    "line_chart",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5eff-723e-9be4-84f0db6b567e/36",
  "deckHref": "/decks/019dd923-5eff-723e-9be4-84f0db6b567e",
  "deckJsonHref": "/decks/019dd923-5eff-723e-9be4-84f0db6b567e.json",
  "deckAnchorHref": "/decks/019dd923-5eff-723e-9be4-84f0db6b567e#slide-36",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "NVIDIA chips carry the value of the full-stack, not just the chip.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-78b5-733e-8107-ca729ffd8b5a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.42,
        "x": 0.52,
        "y": 0.24
      },
      "kind": "chart",
      "text": "Gross Profit (Non-GAAP, $M) and Gross Margin (Non-GAAP) from FY19 to FY23",
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "29682810-1438-4018-8733-ffff8a14ae0d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Gross Margin (Non-GAAP): 67%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-78b5-733e-8107-cdd61f464820",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.42,
        "x": 0.06,
        "y": 0.29
      },
      "kind": "paragraph",
      "text": "Accelerated computing requires full-stack and data center-scale innovation across silicon, systems, algorithms and applications. Significant expertise and effort are required, but application speed-ups can be incredible, resulting in dramatic cost and time-to-solution savings. For example, 10 NVIDIA HGX nodes with 80 NVIDIA A100 GPUs that cost $4M can replace 920 nodes of CPU servers that cost over $50M for AI inference. NVIDIA chips carry the value of the full-stack, not just the chip.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fb43a7a1-281e-4225-ad3e-764517ea6fbc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.42,
        "x": 0.06,
        "y": 0.83
      },
      "kind": "source-note",
      "text": "Cost comparison example based on latest available NVIDIA A100 GPU and Intel CPU inference results in the commercially available category of the MLPerf industry benchmark; includes related infrastructure costs such as networking.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "101b34ef-0a30-4a78-9bee-1e5f261258af",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.42,
        "x": 0.52,
        "y": 0.83
      },
      "kind": "source-note",
      "text": "FY23 financial metrics reflect a $2.2B charge for inventory and related reserves primarily related to Data Center and Gaming. Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. Gross margins are rounded to the nearest percent.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9b4d82b4-e531-4935-b0a1-5816994e4b72",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.62,
        "x": 0.19,
        "y": 0.06
      },
      "kind": "title",
      "text": "NVIDIA Gross Margins Reflect Value of Acceleration",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9002ad73-7f01-4a55-baed-3042c94a7afb",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 40,
      "from": 35,
      "beatId": "e7b139d9-85c2-4736-a4f4-e65addbd982b",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Satisfaction",
      "beatSlug": "monroes-sequence-satisfaction",
      "evidence": "The document showcases NVIDIA's strong growth and profitability",
      "position": 2,
      "confidence": 0.7,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}