{"data":{"slug":"dstack-tee-dstack","name":"dstack","tagline":"Open framework for confidential AI","github_url":"https://github.com/Dstack-TEE/dstack","owner":"Dstack-TEE","repo":"dstack","owner_avatar_url":"https://avatars.githubusercontent.com/u/187594727?v=4","primary_language":"Rust","stars":519,"forks":91,"topics":["confidential-ai","confidential-computing","intel-tdx","private-ai","safe-ai","secure-ai","tee","trusted-execution-environment"],"archived":false,"github_pushed_at":"2026-07-31T13:36:51+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/dstack-tee-dstack","markdown_url":"https://www.graphcanon.com/tools/dstack-tee-dstack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dstack-tee-dstack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dstack-tee-dstack","description":"Open framework for confidential AI","homepage_url":"https://dstack.org","license":"Apache-2.0","open_issues":178,"watchers":9,"ai_summary":"Provides infrastructure to run AI workloads in Trusted Execution Environments (TEEs) using Intel TDX and NVIDIA GPUs, ensuring privacy and security.","readme_excerpt":"## Getting Started\n\n**Try it now:** Chat with LLMs running in TEE at [chat.redpill.ai](https://chat.redpill.ai). Click the shield icon to verify attestations from Intel TDX and NVIDIA GPUs.\n\n**Deploy your own:**\n\n```yaml\n\n---\n\n# docker-compose.yaml\nservices:\n  vllm:\n    image: vllm/vllm-openai:latest\n    runtime: nvidia\n    command: --model Qwen/Qwen2.5-7B-Instruct\n    ports:\n      - \"8000:8000\"\n```\n\nDeploy to a self-hosted TDX machine with the `dstackup install` -> `dstack deploy` workflow, or use [Phala Cloud](https://cloud.phala.network) for managed infrastructure. AMD SEV-SNP hosts use the same workflow when the selected guest image includes `digest.txt`.\n\nSetting up dstack on your own hardware? Start with the [self-hosted quick onboarding guide](./docs/onboarding.md)\n\nBuilding or customizing the guest OS itself? Follow the [guest-OS build guide](./docs/building-guest-os.md).\n\nDeveloping without TEE hardware? Use a development image with\n[no-TEE mode and swtpm](./docs/development-without-tee.md).\n\n---\n\n## License\n\nThe dstack-owned source, SDKs, documentation, tools, guest OS backend, and\nimage-assembly code are Apache-2.0. Embedded and third-party components retain\ntheir own license declarations and notices. See file-level SPDX declarations\nand [`REUSE.toml`](./REUSE.toml) for the exact scope.","github_created_at":"2024-09-13T03:25:07+00:00","created_at":"2026-07-11T23:13:54.894293+00:00","updated_at":"2026-08-02T06:00:32.537218+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"confidential-ai","name":"confidential-ai"},{"slug":"intel-tdx","name":"intel-tdx"},{"slug":"private-ai","name":"private-ai"},{"slug":"safe-ai","name":"safe-ai"},{"slug":"secure-ai","name":"secure-ai"},{"slug":"trusted-execution-environment","name":"trusted-execution-environment"}],"trust":{"provenance":{"is_fork":false,"github_id":856700396,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-02T06:00:31.787Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":10,"days_since_push":1,"last_release_at":"2026-06-10T12:44:03Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:14:02.090Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-02T06:00:32.219Z"},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-08-02T06:00:32.219Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-02T06:00:32.219Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need to run confidential AI computations that require Intel TDX or NVIDIA GPUs to ensure data and code are protected from potential threats at runtime","If your project involves sensitive data processing where privacy guarantees provided by trusted execution environments are crucial"],"when_not_to_use":["Avoid if your AI workloads do not benefit from confidential computing features as the overhead of using Intel TDX may not provide any advantage and can add complexity","Not suitable for hardware setups that do not support Intel TDX or AMD SEV-SNP, limiting flexibility compared to broader hardware support offered by competitors"],"source":"enrich:decision_facts","observed_at":"2026-07-17T03:20:47.459Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Dstack offers infrastructure for running AI workloads in Trusted Execution Environments ensuring privacy and security."}]}}