{
  "docId": "019dd923-605d-726d-81a3-45cffd2e9e31",
  "docSlug": "bi-018d5a08184e8a4b",
  "documentTitle": "Pitch deck: TensorWave raises $43 million to challenge Nvidia AI dominance",
  "authorId": "Pitchdecks",
  "authorName": "TensorWave",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.775,
  "pageNumber": 5,
  "pageCount": 9,
  "prevPage": 4,
  "nextPage": 6,
  "slideType": "why_now",
  "function": "argue_timing",
  "density": "overcrowded",
  "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"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-605d-726d-81a3-45cffd2e9e31/5",
  "deckHref": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31",
  "deckJsonHref": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31.json",
  "deckAnchorHref": "/decks/019dd923-605d-726d-81a3-45cffd2e9e31#slide-5",
  "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,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-abe6-772a-8ff0-36c80a7a6828",
      "frameworkName": null,
      "frameworkSlug": 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,
      "subkind": "area-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3d1e73ba-d163-4182-a766-f24176198373",
      "frameworkName": null,
      "frameworkSlug": 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,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "63b82bf6-4a95-4ac7-8e4e-a79b8f463f63",
      "frameworkName": null,
      "frameworkSlug": 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,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "09886e24-ea3d-4941-85cb-6f820145e07a",
      "frameworkName": null,
      "frameworkSlug": 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,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f69ff29d-26e0-4e5a-9166-fefb4edf2710",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "PyTorch adoption: 92%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-abe6-772a-8ff0-3ae71324dd31",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.25,
        "x": 0.05,
        "y": 0.1
      },
      "kind": "title",
      "text": "Breaking CUDA's Grip",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "57192cf1-8729-4c74-919a-4edae5769053",
      "frameworkName": null,
      "frameworkSlug": 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,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9765882f-b5be-48dc-9b59-16982b51b7d9",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 5,
      "from": 5,
      "beatId": "c8396e09-4a50-417a-8dbc-aef235d18592",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Agitate",
      "beatSlug": "problem-agitate-solution-agitate-make-it-worse",
      "evidence": "The Rise of Open Source AI",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 5,
      "from": 2,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "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?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.6,
      "description": "Quantify what happens if the audience does nothing"
    },
    {
      "to": 6,
      "from": 5,
      "name": "Why Now",
      "slug": "15-why-now",
      "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
      "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",
      "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
      "confidence": 0.6,
      "description": "Create temporal urgency by proving that the window of opportunity is opening or closing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}