The vLLM inference runtime now supports execution, prefill, and decoding (E/P/D) disaggregation. This separation allows for optimized resource allocation across different stages of the LLM inference lifecycle.
HOW THIS AFFECTS YOU
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builderYou can achieve significantly higher throughput and lower latency by separating prefill and decoding workloads.
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researcherThis architectural change enables more granular benchmarking of inference stage performance.