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What happens when RL rollouts use different hardware and precision?
SemiAnalysis says RL practitioners burned by trainer–inference mismatch tend to avoid it.
TLDR
SemiAnalysis asks whether reinforcement-learning practitioners should embrace trainer–inference mismatch rather than avoid it. It points to using different hardware and precision for rollouts during RL training, without stating a specific result.
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