Congrats @CoreWeave on RL Rollouts!

RL post-training involves a lot of back and forth: train the model, generate responses, then train again. Inference workers need to load the updated model weights each time. As models get bigger, that can leave GPUs waiting.

CoreWeave’s new… https://t.co/5BDQxlFfJM

— NVIDIA AI (@NVIDIAAI) 2 octobre 2026

Congrats @CoreWeave on RL Rollouts! RL post-training involves a lot of back and forth: train the model, generate responses, then train again. Inference workers need to load the updated model weights each time. As models get bigger, that can leave GPUs waiting. CoreWeave’s new

→ View original post on X — @nvidiaai