vLLM 与 Physis-AI 联合发布推理服务系统 PhysisServe
vLLM 和 Physis-AI 一起搞了个推理服务系统 PhysisServe，靠流水线和多流调度同时压低延迟和提高吞吐，技术还会进 vLLM-Omni，做推理部署的可以盯一下。
vLLM 团队与 Physis-AI 联合推出推理服务系统 PhysisServe，主打自回归去噪（autoregressive denoising）场景的推理服务。系统采用细粒度阶段流水线（fine-grained stage pipelining）、时间分片和多流联合调度三项核心技术，同时优化单流输出延迟与多流系统吞吐。这些核心技术将逐步合入 vLLM-Omni，两个团队正在协作推进落地。
⚡️ Solid work from the Physis-AI Infra team. Together with Physis-AI, we’re introducing PhysisServe.
PhysisServe advances autoregressive denoising serving via fine-grained stage pipelining, time-sharing and multi-stream joint scheduling, optimizing both single-stream output latency and multi-stream system efficiency in one inference system.
PhysisServe’s core techniques are coming to vLLM-Omni, and our teams are working closely together to make it happen.
Congrats on a strong debut. Excited for what we’ll build together! 👏
