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GPU Optimization: Scaling Challenges in Distributed Gradient Communication

We can optimize this by transferring all elements to one GPU, computing the final value, and sending it back to all other GPUs. This is a significant improvement. But now a single GPU must receive, compute, and communicate back the gradients, so this does not scale.

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