Running GPU Clusters at Scale: What Starts Breaking When You Add Nodes
Eight GPUs behave. Sixty-four are manageable. Somewhere beyond that, a training job stops being a computing problem and becomes a distributed-systems problem, and the failure modes change character entirely. Teams operating GPU Clusters at Scale spend surprisingly little of their time thinking about processors and a great deal thinking about communication, coordination, and things that […]
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