Nereus is a cost-aware controller that adapts RL post-training execution plans in response to changing GPU resource availability and memory pressure. It manages the complexities of reusing distributed states and coordinating transfers across multiple models.
HOW THIS AFFECTS YOU
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builderYou can run large-scale RL post-training jobs more efficiently on fluctuating hardware clusters.
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researcherThis addresses the practical infrastructure bottlenecks of coordinating multi-model RL training.