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  "created_at": "2026-10-02T13:00:50.392Z",
  "updated_at": "2026-10-02T13:13:18.644Z",
  "title": "IBM Built a 6,000 GPU Powerhouse",
  "description": "IBM Research engineered their own massive H100 cluster from scratch to train Granite Foundation models. Here's how they solved the infrastructure puzzle before GB200 even existed.",
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  "language": "en",
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    "transcript_url": "https://reelsbuilder.ai/video/6abfab028257be111fda5012/transcript.txt",
    "transcript": "So I run all of our AI infrastructure at IBM Research, or my team does. But we have been, our main task lately has been, or since the last few years, has been training the Granite Foundation family of models. \n\nThat was what gave me, hey, go build out our infrastructure. So we went out and built a large H100 cluster. And we did it ourselves, got the space, souped the nuts. \n\nIt was a huge task. And what was large? This was 6,000 GPUs, but this was Dell's second XE9680 deployment, so it was Israel 1. \n\nWe came out, and then they went up to Tennessee for that other very large cluster. Memphis. Yeah. So we had done it ourselves, and then we were speaking to Dell, we were talking to NVIDIA how they were going to deploy GB200 and how the rack was even going to work. \n\nAnd there was a lot of open questions. GPUs were melting back then.",
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    "summary": "IBM Research engineered their own massive H100 cluster from scratch to train Granite Foundation models. Here's how they solved the infrastructure puzzle before GB200 even existed.",
    "topics": [
      "YouTube Clip"
    ],
    "source_links": [
      {
        "label": "Building the Future: IBM's 6,000 GPU Cluster Challenges",
        "url": "https://www.youtube.com/watch?v=rAhfOujHcoM",
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  "creator": {
    "handle": null,
    "name": "Alec Furrier",
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