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It is true. [0] [0] https://nvidianews.nvidia.com/news/spectrum-x-ethernet-networking-xai-colossus https://nvidianews.nvidia.com/news/spectrum-x-ethernet-netwo

• sigh_again 2y ago
  Even just Meta dwarfs Twitter's cluster, with an estimated 350k H100s by now.
  • BrickFingers 2y ago
    2 months ago Jensen Huang did an interview where he said xAi built the fastest cluster with 100k GPUs.he said "what they achieved is singular, never been done before" https://youtu.be/bUrCR4jQQg8?si=i0MpcIawMVHmHS2e https://youtu.be/bUrCR4jQQg8?si=i0MpcIawMVHmHS2e Meta said they would expand their infrastructure to include 350k GPUs by the end of this year. But, my guess is they meant a collection of AI clusters not a singular large cluster. In the post where they mentioned this, they shared details on 2 clusters with 24k GPUs each.https://engineering.fb.com/2024/03/12/data-center-engineering/building-metas-genai-infrastructure/ https://engineering.fb.com/2024/03/12/data-center-engineerin...
    • sigh_again 2y ago
      What's singular is putting 100k H100s in a single machine. Which, yay, cool supercomputer, but the distributed supercomputer with 5 times the machines runs just as fast anyways. Huang is still a CEO trying to prop up his product. He'd tell you putting an RTX4090 in your bathroom to drive an LED screen mirror is unprecedented if it meant it got him more sales and more clout.
• verdverm 2y ago
  Really? Meta looks to be running larger clusters of Nvidia GPUs already https://engineering.fb.com/2024/03/12/data-center-engineering/building-metas-genai-infrastructure/ https://engineering.fb.com/2024/03/12/data-center-engineerin... This doesn't account for inhouse silicon like Google where the comparison becomes less direct (different devices, multiple subgroups like DeepMind)