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Tagged “gpu-fleet-and-capacity”

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Training & Alignment 24 min

At Sixteen Thousand GPUs, Something Is Always Broken: Failures, Stragglers and Silent Data Corruption in Training Clusters

Over 54 days of Llama 3 405B pre-training, the job was interrupted 466 times, roughly once every three hours. At that failure rate the checkpoint interval barely matters; what decides how much of a sixteen-thousand-GPU cluster do…

gpu-fleet-and-capacity distributed-training reliability gpu ∑ ◫
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