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Xiaomi shares long-context MiMo inference lessons using SGLang

2 articles1 sourcesince Nov 4Last article 1h ago ·

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Xiaomi engineers Chen Zhang and Yingchun Lai describe how the company handles KV caches, disaggregated serving, and scheduling for long-context MiMo workloads with SGLang, according to a post from the LMSYS Org account on X. The post presents these methods as lessons from Xiaomi's production inference setup.

It does not list benchmark figures.

Written by AI from the articles below · updated Nov 4, 5:54 PM ET

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The articles in this story. Times are ET.

Nov 4
  1. LMSYS OrgOfficial
    Xiaomi shares lessons on long-context MiMo inference with SGLang

    AIXiaomi engineers Chen Zhang and Yingchun Lai describe how the company handles KV caches, disaggregated serving, and scheduling for long-context MiMo workloads using SGLang. The post presents these approaches as lessons from Xiaomi's MiMo deployments.

    Image from @lmsysorg's post
  2. LMSYS OrgOfficial
    Xiaomi explains long-context inference serving for MiMo with SGLang

    AIXiaomi engineers Chen Zhang and Yingchun Lai describe how the company handles KV caches, disaggregated serving, and scheduling for long-context MiMo workloads using SGLang. The post shares lessons from Xiaomi's production inference setup without listing benchmark figures.

    Image from @lmsysorg's post

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