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Prefill/Decode Disaggregation in vLLM: The KV Transfer Math That Decides If It Pays Off

This story is from 2026-10-19. It is preserved in the archive; the latest stories are on the live feed.

TL;DR Prefill/decode (P/D) disaggregation puts the two phases of LLM inference on separate engine instances. vLLM's own docs are blunt about the trade: it lets you tune time to first token (TTFT) and inter-token latency (ITL) independently and controls tail ITL, but "disaggregated prefill does not…

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  1. 2026-10-19 14:03 · DEV Community — Machine Learning
    Prefill/Decode Disaggregation in vLLM: The KV Transfer Math That Decides If It Pays Off

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