MindSpeed RL uses a distributed transfer dock and an allgather-swap method to raise RL training throughput on Ascend NPUs by 1.42 to 3.97 times over two open baselines.
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MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster
MindSpeed RL uses a distributed transfer dock and an allgather-swap method to raise RL training throughput on Ascend NPUs by 1.42 to 3.97 times over two open baselines.