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How does PyTorch DistributedDataParallel (DDP) work?

Updated May 17, 2026

Short answer

DDP synchronizes gradients across multiple GPUs for data-parallel training.

Deep explanation

Each GPU runs a replica of the model. During backward pass, gradients are all-reduced across processes ensuring consistent updates.

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