gpustack: Scale AI Model Serving on GPU Clusters with Ease
From the repo · “A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.”
Manage a group of computers with good graphics cards to work together on AI tasks.
"A founder wants to build a high-quality chatbot for their e-commerce website. They create a virtual cluster using GpuStack, connect it to their preferred AI model, and start processing customers' queries in real-time. The founder can easily scale their cluster up or down as needed to handle changing traffic."
- •When deploying large-scale AI models that require significant GPU resources
- •When needing to orchestrate multiple AI models and inference engines
- •When requiring a scalable and configurable GPU cluster for AI workloads
gpustack deploy --model resnet50 --engine vLLM --gpu-type NVIDIA_A100 --num-gpus 4
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/gpustack && curl -fsSL https://workflowstacks.com/api/skills/gpustack/claude-skill -o ~/.claude/skills/gpustack/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Gpustack: Scale AI Model Serving on GPU Clusters with Ease is a very large Python project (~148k lines across 440 code files, plus 212 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3gpustack/main.pyWhere the program starts running
- 4pyproject.tomlDependencies and the commands it exposes
- 5gpustack/__init__.pyInside gpustack/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/gpustack && curl -fsSL https://workflowstacks.com/api/skills/gpustack/claude-skill -o ~/.claude/skills/gpustack/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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