dstack

Official

GPU provisioning across clouds, simplified.

Authordstackai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

dstack provides a unified control plane to provision and orchestrate workloads across GPU clouds, Kubernetes, and on-prem clusters, reducing complexity and fragmentation.

Core Features & Use Cases

  • Unified orchestration of fleets, volumes, and resources across multiple backends with a single YAML configuration.
  • CLI-driven management for applying configurations, routing ports, and attaching to runs, enabling development, training, and deployment workflows.
  • Fleet and volume support for pre-provisioning infrastructure, persistent storage, and scalable deployments across clouds and on-prem environments.

Quick Start

Install and configure the dstack server and CLI, then create a .dstack.yml (or fleet.dstack.yml) configuration and run an apply workflow:

  1. Create a configuration file, e.g., my-service.dstack.yml
  2. Show plan: echo "n" | dstack apply -f my-service.dstack.yml
  3. Apply after confirmation: dstack apply -f my-service.dstack.yml -y -d
  4. Monitor with dstack ps -v

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: dstack
Download link: https://github.com/dstackai/dstack/archive/main.zip#dstack

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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