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Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM

Photo: AWS Machine Learning

What happened

vLLM's prefill-decode disaggregation splits LLM inference across engine instances but must transfer the KV cache between them. This post introduces a push-based NIXL connector that moves transfer coordination off the critical path, delivering up to 3x better TTFT and 30% better TPOT in benchmarks on Amazon EC2 P5en instances with AWS EFA.

Summary assembled by rule from the sources below

Why it's spreading

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