# Bad Influence story: Fireworks AI explains splitting prefill and decode across datacenters and hardware

Active · 1 article · 1 source · First reported 11-09 18:15. Times are ET.
Story page: https://badinfluence.news/story/9580b220-1816-426b-8b65-542ebcb7cd95

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[Bad Influence external source material begins]
Latest update (11-09 18:15): 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.

Coverage timeline (newest first):
1. 11-09 18:15 · LMSYS Org · [Fireworks AI explains splitting prefill and decode across datacenters and hardware](https://badinfluence.news/items/hygj25zj2hsxjj7wdf8qmv8q2)
[Bad Influence external source material ends]

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