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Tuesday, 20 October 2026
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AI Research

Research papers, benchmarks, architectures, reasoning and training methods.

#TPOT — 1 article ✕

Research· Important· 🧪 Worth Testing

AWS introduces push-based KV transfer to cut latency in disaggregated vLLM inference

AWS released a push-based NIXL connector for vLLM that changes how key-value (KV) cache data moves between prefill and decode instances in disaggregated LLM serving. Instead of the decode instance pulling KV blocks after prefill finishes, the decode instance registers its target memory in advance and the prefill instance writes the KV data directly once ready, moving coordination work off the critical path. Benchmarked on a 1-prefill/1-decode Qwen3-32B deployment using EC2 P5en instances with EFA, push mode delivered up to 3x better time-to-first-token (TTFT) and up to 30% better time-per-output-token (TPOT) than the default pull mode, especially under high request rates.

AWS Machine Learning