Compare DeepSpeed and PyTorch FSDP for distributed training. What are the key differences in their approaches, and how do you choose between them for a given project?

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DeepSpeed and FSDP are the two leading frameworks for memory-efficient distributed training. Both implement sharding strategies inspired by ZeRO, but they differ in architecture, integration, and optimization details.