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Fireworks AI explains splitting prefill and decode across datacenters and hardware

1 article1 sourcesince Nov 9Last article 2h ago ·

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Matt Murphy of Fireworks AI describes separating LLM prefill and decode across datacenters and hardware classes, according to a post by LMSYS Org on X dated November 9, 2026.

He names three trade-offs: moving the KV cache over limited Ethernet links, reworking request lifecycles, and securing traffic across datacenter boundaries. The report contains no performance figures or deployment results.

Written by AI from the articles below · updated Nov 9, 6:19 PM ET

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Nov 9
  1. LMSYS OrgOfficial
    Fireworks AI explains splitting prefill and decode across datacenters and hardware

    AIMatt Murphy of Fireworks AI describes separating prefill and decode across datacenters and hardware classes. He names the trade-offs of moving KV cache over limited Ethernet links, reworking request lifecycles, and securing traffic across datacenter boundaries.

    Image from @lmsysorg's post

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