{
  "docId": "019de513-5a26-7732-80b4-21bdf45559c1",
  "docSlug": "2eacc85da4033ce8dc2573e4174dfbc5",
  "documentTitle": "AMD | Investor Day Presentation Deck | 219 slides",
  "authorId": "amd",
  "authorName": "AMD",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2022-06-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 119,
  "pageCount": 120,
  "prevPage": 118,
  "nextPage": 120,
  "slideType": "appendix_disclosure",
  "function": "other",
  "density": "dense",
  "nDataPoints": 12,
  "notes": "Contains specific performance metrics for Resnet models on different hardware configurations.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de513-5a26-7732-80b4-21bdf45559c1/119",
  "deckHref": "/decks/019de513-5a26-7732-80b4-21bdf45559c1",
  "deckJsonHref": "/decks/019de513-5a26-7732-80b4-21bdf45559c1.json",
  "deckAnchorHref": "/decks/019de513-5a26-7732-80b4-21bdf45559c1#slide-119",
  "components": [
    {
      "bbox": {
        "h": 0.265,
        "w": 0.904,
        "x": 0.048,
        "y": 0.155
      },
      "kind": "paragraph",
      "text": "MI200-63 - Testing Conducted by AMD performance lab as of 25/5/2022 using SuperBench v 0.4.0 benchmark, Resnet 50/101/152 datasets. All configurations used Framework: PyTorch 1.9 EPYC/Instinct system: Dual socket, 64 core, 2nd Gen AMD EPYC™ 7002 Series CPU powered server with 8x AMD Instinct™ MI250X OAM (128 GB HBM2e) 500W GPUs with AMD Infinity Fabric™ technology, ROCm™ 5.1.0 Benchmark: Resnet model (Median scores of Resnet50, Resnet 101, Resnet152 datasets) with AMD | Microsoft optimized batch sizes tuned for Resnet results for system configurations that are not yet available upstream. Commit(Container): computecqe/superbench:rocm5.1.3_superbench04 from here Benchmark Results: Resnet testing resulted in median throughput of 8x MI250X: resnet50 = 9708.873, resnet101 = 6705.041, resnet152 = 5250.635 Samples (Throughput)/ sec. Training model separates copies of model on each GPU; total system throughput obtained by calculating the sum of the throughput obtained on each GPU. Vs. EPYC/Nvidia system: NVIDIA DGXA100, Dual socket 64-core AMD EPYC 7742 Series CPUs, with 8x NVIDIA A100 SXM 80GB (400W), CUDA 11.6 and Driver Version 510.47.03, OS: Benchmark: Resnet model (Median scores of Resnet50, Resnet 101, Resnet152 datasets) Commit(Container): superbench/superbench:v0.4.0-cuda11.1.1 from here Benchmark Results: Resnet testing resulted in median throughput of 8x A100: resnet50 = 7057.052, resnet101 = 4968.324, resnet152 = 3806.318 Samples (Throughput)/ sec. Details on SuperBench found here Server manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers and optimizations MI200-63",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "34aed81a-b031-4e41-bf8d-4a5c1c2d92ac",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.055,
        "w": 0.904,
        "x": 0.048,
        "y": 0.328
      },
      "kind": "paragraph",
      "text": "MI300-03 - Measurements by AMD Performance Labs June 4, 2022. MI250X FP16 (306.4 estimated delivered TFLOPS based on 80% of peak theoretical floating-point performance). MI300 FP8 performance based on preliminary estimates and expectations. Actual results based on production silicon may vary. MI300-03",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "75e9e6d6-136d-4814-bea1-af2893672860",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.055,
        "w": 0.265,
        "x": 0.048,
        "y": 0.088
      },
      "kind": "title",
      "text": "Endnotes (Cont.)",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "bb6f5101-2b9c-4d47-b305-1ebd63d28d7b",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 120,
      "from": 21,
      "beatId": "d2a33877-884b-412a-aec7-830a476cf59f",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Action",
      "beatSlug": "monroes-sequence-action",
      "evidence": "The presentation concludes with a clear call to action, outlining AMD's strategy and vision for the future.",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}