dstack
Provision and orchestrate GPU workloads across any cloud or cluster
All Skills in This Repository (3)
Pure Emerald Level Indicators
dstackaidstack-presets
Create and manage dstack presets for agent-driven model inference optimization.
dstackaidstack-prototyping
Prototype and verify dstack model-serving configurations on real GPU hardware before service deployment.
dstackaidstack
Provision and orchestrate GPU workloads across clouds using YAML configurations.
Frequently Asked Questions
FAQPage SchemaHow to install dstack?▼
Run `npx skills add dstackai/dstack --all -g -y` in your terminal to install all dstack skills globally for your AI agent.
What does dstack do?▼
dstack is an open-source control plane that provisions GPUs and runs dev environments, training tasks, and inference services across any cloud, Kubernetes, or on-prem cluster.
Can AI agents manage GPU fleets with dstack?▼
Yes. The included skills let agents like Claude, Codex, and Cursor create fleets, apply YAML configurations, and monitor runs using verified dstack CLI commands.
How to deploy a model as an API with dstack?▼
Define a service configuration in a .dstack.yml file with your model and resources, then apply it. dstack provisions the GPU and exposes a secure OpenAI-compatible endpoint.
Does dstack work with Kubernetes and on-prem servers?▼
Yes. dstack supports Kubernetes clusters, major GPU clouds, and on-prem machines via SSH fleets, with NVIDIA, AMD, TPU, and Tenstorrent accelerators.
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