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Adi Gangidi

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Faster Than Fast: Networking and Communication Optimizations for Llama 3Networking @Scale 20242024-09-11
Meta builds two 24,000‑GPU clusters (AI zones of ~3,000 GPUs each, 1:7 oversubscription at aggregate switches) to train Llama 3 (8B, 70B, 405B) and reports…
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GenAI Training In Production: Software, Hardware & Network ConsiderationsSystems @Scale 20242024-06-12
Meta builds two 24K clusters (one RoCE-optimized, one InfiniBand) and relies on PyTorch to move research to production, mapping tensor/pipeline/data…
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Scaling RoCE Networks for AI TrainingNetworking @Scale 20232023-09-07
Meta runs RoCEV2 on commodity Ethernet to support AI training fabrics with tens of thousands of GPUs, using servers with 8 GPUs and 8 NICs and 16 uplinks per…
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