{
  "docId": "019dd923-605c-759f-b6af-f3719c2d4291",
  "docSlug": "bi-61fe6835a95c1abd",
  "documentTitle": "Pitch deck Cerebrium used to nab $8.5 million from Gradient Ventures",
  "authorId": "Pitchdecks",
  "authorName": "Cerebrium",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.775,
  "pageNumber": 7,
  "pageCount": 19,
  "prevPage": 6,
  "nextPage": 8,
  "slideType": "problem_statement",
  "function": "frame_problem",
  "density": "dense",
  "nDataPoints": 3,
  "notes": "The slide uses a 'Problem' label and a strong, data-backed headline to establish urgency.",
  "elementsJson": [
    "headline_text",
    "action_title",
    "paragraph",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-605c-759f-b6af-f3719c2d4291/7",
  "deckHref": "/decks/019dd923-605c-759f-b6af-f3719c2d4291",
  "deckJsonHref": "/decks/019dd923-605c-759f-b6af-f3719c2d4291.json",
  "deckAnchorHref": "/decks/019dd923-605c-759f-b6af-f3719c2d4291#slide-7",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "AI workloads require fundamentally different orchestration, cost models, and performance optimizations than traditional cloud computing.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-bb7f-7799-a411-4382076b6887",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "GPU compute waste: $24B",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-bb7f-7799-a411-478a473dd289",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.84,
        "x": 0.08,
        "y": 0.45
      },
      "kind": "paragraph",
      "text": "AI workloads require fundamentally different orchestration, cost models, and performance optimizations than traditional cloud computing.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fedc0ad5-972e-4c7b-84ac-710e769bbd5b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.53,
        "x": 0.42,
        "y": 0.89
      },
      "kind": "source-note",
      "text": "STATE OF AI INFRASTRUCTURE AT SCALE 2024 REPORT SHOWS THAT 68% OF SURVEYED COMPANIES HAVE GPU UTILIZATION BELOW 70% EVEN DURING PEAK PERIODS—30% OF THE $80B AI COMPUTE SPEND IN 2024 IS WASTED.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "eea0ccda-d391-4403-bb1e-6e7a93dbd989",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.45,
        "x": 0.05,
        "y": 0.12
      },
      "kind": "title",
      "text": "$24B was wasted on GPU compute in 2024",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8a19cf47-9a90-4d07-a61e-d993dc02be08",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.06,
        "x": 0.05,
        "y": 0.09
      },
      "kind": "title",
      "text": "PROBLEM",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "82f77834-179a-4b3a-bb0e-d2191bae9674",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Quantification",
      "slug": "quantification",
      "agent": null,
      "layer": "slide",
      "matchId": "115da956-05eb-4968-9b62-740b28204e5a",
      "evidence": "The slide provides specific numbers and metrics to quantify the problem, such as '$24B was wasted on GPU compute in 2024'.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 7,
      "from": 4,
      "beatId": "3d9e7530-94f5-4e0c-a948-7d88db64bec6",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Problem",
      "beatSlug": "problem-agitate-solution-problem-identify-pain",
      "evidence": "Slides 4-7 present the problem",
      "position": 0,
      "confidence": 0.9,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    }
  ],
  "loops": [
    {
      "to": 8,
      "from": 6,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "3ad081e0-5b8f-46c4-aef3-fde22bfcf105",
      "evidence": "Slide 6 presents the problem, and slide 8 presents the solution",
      "position": 0,
      "objective": "What if we don't solve the high cost of GPU infrastructure?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.8,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}