LiveUpdated 2026-11-05 16:12 UTC

Up to 5× faster RL training steps, on the same GPU budgets.

Name: Up to 5× faster RL training steps, on the same GPU budgets.
Uploaded: 2026-11-05T14:45:52.000Z
Channel: Nebius Token Factory
Description: Up to 5× faster RL training steps, on the same GPU budgets. Our internal auto-tuner optimizes the full RL loop: training, inference, and environment execution. It profiles each job, forecasts promising configuration changes, tests them in real runs, and follows the bottleneck as it moves. Across…

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Up to 5× faster RL training steps, on the same GPU budgets. Our internal auto-tuner optimizes the full RL loop: training, inference, and environment execution. It profiles each job, forecasts promising configuration changes, tests them in real runs, and follows the bottleneck as it moves. Across 210 runs on NVIDIA B300 GPUs, we tested four dense and MoE models on math and agentic coding workloads. All eight jobs improved: 1.42-4.93x faster steps, with a median speed-up of about 3.5x. One revealing result: nearly doubling inference-engine throughput in a benchmark didn’t shorten the RL step

Posted by Nebius Token Factory (13.2k followers) 1 h ago · 28 likes · 1.7k views · view the original post on X. Kept by the Dev Radar as Hosting & infra.

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