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Read More »AI in Multiple GPUs: ZeRO & FSDP
of a series about distributed AI across multiple GPUs: Introduction In the previous post, we saw how Distributed Data Parallelism (DDP) speeds up training by splitting batches across GPUs. DDP solves the throughput problem, but it introduces a new challenge: memory redundancy. In vanilla DDP, every GPU holds a complete copy of the model parameters, gradients, and optimizer states. For large …
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