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Nathan Lambert: belief

3 Feb 2025 Lex Fridman Podcast #459 – DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters

“I think the clearest example we have, because Meta is also open, they talk about order of 60k to 100k H100 equivalent GPUs in their training clusters.”

— Nathan Lambert

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Speaker
Nathan Lambert
Attribution
Verified speaker
Claim type
belief
Recorded
3 Feb 2025
Publisher
Lex Fridman Podcast

Transcript context

…Yeah, sorry. We believe they actually have something closer to 50,000 GPUs, right? Now this is split across many tasks, right? Again, the fund, research and ablations. For ballpark, how much would OpenAI or Anthropic had. I think the clearest example we have, because Meta is also open, they talk about order of 60k to 100k H100 equivalent GPUs in their training clusters. Right. So Llama 3, they trained on 16,000 H100s, but the company of Meta last year publicly disclosed they bought 400 something thousand GPUs.…

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