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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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