Checked fact 43489 Nov 2026Research
The post says Reshard is a new type of collective communication primarily designed to accelerate RL weight refit, which transfers a tensor distributed across M source GPUs into the layout required by N destination GPUs; in RL refit the training GPUs are the source group and the inference GPUs the destination group.
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The exact words it rests on
a tensor distributed across M source GPUs into the layout required by N destination GPUs. In RL refit, the training GPUs form the source group and the inference GPUs form the destination group.
What the source said when we opened it, on 9 Nov 2026.
The source
Accelerating Reinforcement Learning Weight Refit with the Reshard Collective
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