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  "documentTitle": "NVIDIA | Investor Presentation Deck | 65 slides",
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  "authorName": "NVIDIA",
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      "text": "Six New Performance Records\nThe fastest gets even faster",
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      "text": "NVIDIA set six new performance records in this round, with the performance increase stemming from a combination of advances in software and scaled-up hardware\n2.8x faster on generative AI – completing a training benchmark based on a GPT-3 model with 175 billion parameters trained on 1 billion tokens in just 3.9 minutes\n1.6x faster on training recommender models\n1.8x faster on training computer vision models\nThe GPT-3 benchmark ran on NVIDIA Eos – a new AI supercomputer powered by 10,752 H100 GPUs and NVIDIA Quantum-2 InfiniBand networking\nThe 10,752 H100 GPUs far surpassed the scaling in AI training in June, when NVIDIA used 3,584 Hopper GPUs\nThe 3x scaling in GPU numbers delivered a 2.8x scaling in performance, a 93% efficiency rate thanks in part to software optimizations\nMicrosoft Azure achieved similar results on a nearly identical cluster, demonstrating the efficiency of NVIDIA AI in public cloud deployments",
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      "text": "DLRM-dcnv2\n1 Minute\n1.6X Faster",
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      "text": "3D U-Net\n46 Seconds\n1.07X Faster",
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      "text": "GPT-3 175B (1B Tokens)\n3.9 Minutes\n2.8X Faster",
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      "text": "RetinaNet\n55.2 Seconds\n1.8X Faster",
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      "text": "BERT-Large\n7.2 Seconds\n1.1X Faster",
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      "text": "Stable Diffusion\n2.5 Minutes\nNew Workload",
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      "text": "MLPerf™ Training v3.1. Results retrieved from www.mlperf.org on November 8, 2023. Format: Chip Count, MLPerf ID | GPT-3:\n3584x 3.0-2003, 10752x 3.1-2007 | Stable Diffusion: 1024x 3.1-2050 | DLRMv2: 128x 3.0-2065, 128x 3.1-2051 | BERT-Large:\n3072x 3.0-2001, 3472x 3.1-2053 |\nRetinaNet: 768x 3.0-2077, 2048x 3.1-2052 | 3D U-Net: 432x 3.0-2067, 768x 3.1-2064. The MLPerf™ name and logo are\ntrademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use\nstrictly prohibited. See www.mlcommons.org for more information.",
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      "kind": "title",
      "text": "NVIDIA Sets New LLM Training Record With Largest MLPerf Submission Ever",
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      "name": "Why Now",
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