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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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