CoreWeave targets GPU utilization in continuous AI post-training
SiliconANGLE 2 weeks ago 23 ● 7 sources
CoreWeave announced CoreWeave Forge to connect model deployment, evaluation, and continuous improvement via reinforcement learning rollouts that repeat generate-and-update cycles. It said RL Rollouts helped post-train Nemotron 3.5 Lightning in eight hours using You.com’s web search tools. This shifts post-training toward higher GPU utilization by speeding weight synchronization and enabling cross-region data writes so jobs can feed each other between training rounds.