GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments.
Good fit when
- When you need orchestration for AI workloads that can run on a variety of hardware like NVIDIA, AMD, TPU, and Tenstorrent, and across different environments such as clouds, Kubernetes, and bare metal.
- If you are working with AI agents and want to enable them to manage fleets and submit workloads on your behalf using the dstack CLI.
Avoid when
- If you are looking for a tool that is tightly integrated with a specific cloud provider or hardware vendor, as dstack is designed to be vendor-agnostic.
- When your project strictly requires proprietary licensing, as dstack is licensed under the Mozilla Public License 2.0, which is open source.
- Pricing:
- freemium - The core functionality of dstack is free and open-source under the Mozilla Public License 2.0. Additional services or support may be available for a fee.
- Requirements:
- Requires Docker; Requires Git and OpenSSH for CLI installation and configuration.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install dstackSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
dstackai/dstack provides orchestration for AI workloads including training, inference, and agentic tasks across various hardware and environments like clouds, Kubernetes, and bare metal.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
$ npx skills add dstackai/dstackSource link
Source: README excerpt (regex_v1, Sep 18, 2026)
AI agents like Claude, Codex, and Cursor can now create and manage fleets and submit workloads on your behalf.Source link
Tags
README
Install the CLI <details <summary If the CLI is not installed with the server</summary Once the server is up, you can access it via the CLI. The CLI can be installed on Linux, macOS, and Windows. It requires Git and OpenSSH. To point the CLI to the server, configure it with the s...
For agents
This page has a .md twin and JSON over the API.