GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Dstack is an open-source framework for confidential AI, offering secure execution environments using Intel TDX and AMD SEV-SNP technologies.
Good fit when
- When you need to ensure secure execution environments for AI models using Intel TDX or AMD SEV-SNP technologies.
- If you are working with sensitive data and require a trusted execution environment to protect model confidentiality.
Avoid when
- If your project does not require confidential computing and you are looking for a more general-purpose AI development tool.
- When you do not have access to TEE hardware and are unwilling to use the no-TEE mode with swtpm for development.
- Hosting:
- self hosted - Supports self-hosted TDX machines and managed infrastructure via Phala Cloud.
- Requirements:
- Requires Docker; Requires TEE hardware for full functionality, but offers a no-TEE mode for development.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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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
cargo add dstackSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Dstack-TEE/dstack is an open-source framework for confidential AI, enabling secure execution environments using technologies like Intel TDX and AMD SEV-SNP.
Capability facts
- Languages
- rust
Source: github.language · Sep 18, 2026
Categories
Tags
README
Getting Started Try it now: Chat with LLMs running in TEE at chat.redpill.ai. Click the shield icon to verify attestations from Intel TDX and NVIDIA GPUs. Deploy your own: Deploy to a self hosted TDX machine with the workflow, or use Phala Cloud for managed infrastructure. AMD SE...
For agents
This page has a .md twin and JSON over the API.