NVIDIA explains how to speed up RL weight refit with the Reshard Collective
AINVIDIA's Technical Blog describes the Reshard Collective, a method for accelerating weight refits in reinforcement learning post-training. The problem it addresses is that disaggregated setups run inference and training on separate GPUs, so the inference side must periodically receive updated policy weights from the training side.
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NVIDIA Technical Blog · Tanya Lenz · developer.nvidia.comPublished · added here
Original title: Accelerating Reinforcement Learning Weight Refit with the Reshard Collective