Architecture Teardown: How Meta Trains LLMs for Code Generation on 100k GPU Clusters
In Q3 2024, Meta trained a 70B parameter code-specialized LLM on 100,000 Nvidia H100 GPUs, achieving 214 TFLOPS per GPU and 92% cluster utilization – a 3x improvement over their 2023 16k A100 cluster runs, with total training cost of $17.4M for 21 days of continuous operation. 📡 Hacker News Top Stories Right Now Ghostty is leaving GitHub (2250 points) Bugs Rust won't catch (158 points) How ChatGPT serves ads (265 points) Before GitHub (389 points) Show HN: Auto-Architectu...
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