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What is multi-GPU synchronization overhead in DDP?
Updated May 17, 2026
Short answer
Synchronization overhead arises from gradient all-reduce across GPUs.
Deep explanation
In DDP, gradients are synchronized after each backward pass using all-reduce operations. Communication cost increases with model size and number of GPUs, often becoming a bottleneck.
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