Our verdict
We have not reviewed dstack yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About dstack
dstack is an open framework for confidential AI. It enables running AI workloads with data privacy and integrity guarantees. Built in Rust, it provides observability into confidential computing environments.
Best for
Developers building AI applications that require data confidentiality and verifiable observability.
Use cases
- Run AI inference inside trusted execution environments
- Observe and verify confidentiality of AI pipelines
- Deploy secure AI workflows with privacy guarantees
Notes
496 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Pros
- Open source with community-driven development
- Written in Rust for performance and safety
- Focus on confidentiality for AI workloads
Cons
- Relatively early stage with limited adoption (496 stars)
- Niche focus may limit general observability use cases
- Documentation and ecosystem still maturing
Key facts
What we have checked
- Latest version
- 0.5.12 (released 13 Oct 2026)
- GitHub stars
- 553
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How dstack is growing
496 to 553
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.5.12
Released 0.6.1
Released mkosi-os-v0.6.1
Released verifier-v0.6.1
Released gateway-v0.6.1
Released kms-v0.6.1
Released 0.6.0
Released gateway-v0.6.0
Released kms-v0.6.0
Released verifier-v0.6.0
Pairs with
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