gpustack: High-Performance AI Serving
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.
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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