jobd
可自托管的 GPU 感知作业代理,适用于您自己的机器,原生支持 MCP/智能体集成。
Self-hostable GPU-aware job broker for your own machines, with native MCP/agent integration
怎么安装
暂无统一安装命令,请查看仓库 README。
简介
jobd **A self-hostable, GPU-aware job broker for your own machines — with native MCP/agent integration.** Like task-spooler or pueue, but across *all* your machines — and VRAM-aware. You have a couple of boxes with GPUs — a workstation, a server, maybe a laptop — wired together over Tailscale or a LAN. You want to fire off training runs, data pipelines, and long batch jobs from anywhere, have them land on whichever machine actually has the VRAM free, survive across sessions, and get preempted cleanly when something more important shows up. You don't have a cloud, a Kubernetes cluster, or a Slu…
推荐参考
信息
- 协议
- MIT
- 语言
- Python
- GitHub 星标
- 4
- 月下载
- –
- 最近更新
- 2026-09-24
- 创建于
- 2026-05-31
基础安全检查
- 检查结果
- curated 收录但无 npm 包/安装命令
- 收录来源
- curated:punkpeye/awesome-mcp-servers
- 主题标签
- distributed-systems, fastapi, gpu, homelab, job-queue, job-scheduler, mcp, self-hosted, tailscale