Prefill-Decode Disaggregation: When and Why to Split Your Inference Stack
中文摘要
vLLM等主流推理引擎现已稳定支持预填充与解码分离，旨在通过拆分推理栈来优化推理性能。
English Summary
Major inference engines, including vLLM, now stably support prefill-decode disaggregation to optimize the inference stack and performance.
Original Excerpt
Every major inference engine now supports it. vLLM shipped disaggregated prefill as a stable feature. Continue reading on Towards AI »