Fireworks AI explains splitting prefill and decode across datacenters and hardware
Overview
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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LMSYS Org@lmsysorgOfficialFireworks AI explains splitting prefill and decode across datacenters and hardwareAIMatt 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.

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