4 coding agents on one RTX 3090: ~290 tok/s total from a custom CUDA engine for Qwen3.8-27B (3-4x llama-server --parallel)
英文标题:4 coding agents on one RTX 3090: ~290 tok/s total from a custom CUDA engine for Qwen3.8-27B (3-4x llama-server --parallel)
I've been building OpenJet, a local coding agent with its own CUDA megakernel engine for Qwen3.8-27B Q4_K_M. Until now it served one conversation at a time. The new release serves several agents at once on a single GPU. https://reddit.com/link/1xgs8hp/video/p0zd2rxse0yh1/player Numbers (RTX 30
打开原文相关 6 · 机会 2
中文
I've been building OpenJet, a local coding agent with its own CUDA megakernel engine for Qwen3.8-27B Q4_K_M. Until now it served one conversation at a time. The new release serves several agents at once on a single GPU. https://reddit.com/link/1xgs8hp/video/p0zd2rxse0yh1/player Numbers (RTX 30
中文全文翻译正在补齐,可先查看下方英文原文。
English / 原文
I've been building OpenJet, a local coding agent with its own CUDA megakernel engine for Qwen3.8-27B Q4_K_M. Until now it served one conversation at a time. The new release serves several agents at once on a single GPU. https://reddit.com/link/1xgs8hp/video/p0zd2rxse0yh1/player Numbers (RTX 30