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    CoreWeave RL Rollouts is said to load new weights about 15x faster than a redeploy cycle

    CoreWeave says RL Rollouts updates live deployments during reinforcement-learning training without touching in-flight requests.

    CoreWeaveCO
    1 Source, 6h ago, first seen 6h ago

    TLDR

    CoreWeave says its RL Rollouts load new weights into live deployments without touching in-flight requests, about 15x faster than a redeploy cycle. The company says Nvidia and You.com used the system to post-train Nemotron 3.5 Lightning for web search, raising BrowseComp accuracy from 36.97% to 45.45% while cutting tool calls by 30.24%.

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    1 Source, first seen 6h ago

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    1 Source

    CoreWeave@CoreWeaveIn reinforcement learning, inference is part of the training loop. Every checkpoint used to mean a redeploy, and the trainer waited. CoreWeave RL Rollouts load the new weights into a live deployment without touching in flight requests, about 15x faster than a redeploy cycle. @nvidia and @youdotcom used it to post train Nemotron 3.5 Lightning for web search and lifted BrowseComp accuracy from 36.97% to 45.45% while cutting tool calls by 30.24%. Full breakdown here: https://crwv.co/utdYc7h