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LoGRA Cuts AI Reinforcement Training Memory by 45% on One Node
A new RL post-training method shrinks memory by 45.7% using low-rank gradient sketches, letting a 27B model train on a single eight-GPU node.
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AlphaSignal
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AlphaSignal Newsroom
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A new RL post-training method shrinks memory by 45.7% using low-rank gradient sketches, letting a 27B model train on a single eight-GPU node.
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