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Yağız Çalık explains how ai& runs RL post-training on mixed GPU fleets

1 article1 sourcesince Nov 5Last article 1h ago ·

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Yağız Çalık shares how ai& runs reinforcement learning post-training across heterogeneous GPU fleets, using Miles and SGLang, according to a post from LMSYS Org on X. He describes the inference demands that make mixed hardware a challenge.

The report summarizes the talk's subject only. It does not include details of the specific methods, performance results or hardware mix.

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
Yağız Çalık explains RL post-training on mixed GPU fleets

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Nov 5
  1. LMSYS OrgOfficial
    Yağız Çalık explains RL post-training on mixed GPU fleets

    AIYağız Çalık shares how ai& runs RL post-training across heterogeneous GPU fleets using Miles and SGLang. He describes the inference demands that make mixed hardware a challenge.

    Image from @lmsysorg's post

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