Core concept
H100 needs ~400 Gbps per GPU for efficient scaling. Rail-aligned 8 GPUs × 400 Gbps = 3.2 Tbps per node.
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How it works
Undersized network = training bottleneck. Comms dominates.
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Trade-offs + gotchas
Training cluster design. Foundation model training.