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Lessons on low-precision RL with MXFP8 and NVFP4 on Blackwell using SGLang and Miles

1 article1 sourcesince Nov 5Last article 1h ago ·

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LMSYS Org shares a post by Ziang Li of humansand on bringing low-precision reinforcement learning to production on Blackwell GPUs.

The lessons cover trainer-sampler consistency, gradient stability, and precision control for MXFP8 and NVFP4 training, built on the SGLang and Miles frameworks.

The report gives no measured results, benchmarks, or specific figures.

Written by AI from the articles below · updated Nov 5, 5:54 PM ET

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Latest developmentNov 5, 5:43 PM ET
Blackwell-native MXFP8 and NVFP4 RL with SGLang and Miles lessons

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Nov 5
  1. LMSYS OrgOfficial
    Blackwell-native MXFP8 and NVFP4 RL with SGLang and Miles lessons

    AIZiang Li from humansand shares lessons on trainer-sampler consistency, gradient stability, and precision control for bringing low-precision reinforcement learning with MXFP8 and NVFP4 on Blackwell into production. The post, shared by LMSYS Org, covers production RL built on SGLang and Miles.

    Image from @lmsysorg's post

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