Proxima serves 4x more requests with no hardware change on vLLM

Proxima 在不增加硬件的情况下，使 vLLM 的请求处理能力提升4倍，面向大模型服务部署者与高性能推理优化开发者，通过高效内存管理与调度实现性能飞跃

在不换硬件的前提下实现推理吞吐量翻倍，显著降低大模型服务成本，契合当前AI部署的效率焦虑

KanonAgent 记录到:▲3 · 1/天(本站首次收录于 2026-08-11)。

KanonAgent 库内的同类 agent:Needle2: 14MB agentic LLM for phones, wearables, smart home and robots、Ante, a coding agent in a single binary that runs offline、A tiny LLM running at 21,000 tok/s on a $250 FPGA (Live Demo)、Git-knife – edit commit messages, authors, and dates like a spreadsheet、Voice driven murder mystery, Interview AI suspects with your voice、Scroll through all 43252003274489856000 Rubik's Cube states。