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How does ZeRO optimization relate to PyTorch distributed training?

Updated May 17, 2026

Short answer

ZeRO partitions optimizer states, gradients, and parameters across GPUs to reduce memory.

Deep explanation

ZeRO (Zero Redundancy Optimizer) eliminates redundant memory usage in distributed training by sharding model states across devices while maintaining correctness via communication steps.

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