Documentation
Documentation for the Confidential AI platform — the c8s Confidential Kubernetes platform, the Confidential Agents API, attested builds, and the concepts and whitepapers behind confidential computing.
Confidential AI runs AI workloads — inference, agents, training, and more — inside hardware-backed Trusted Execution Environments, so prompts, responses, model weights, and credentials stay encrypted end to end, even from the infrastructure operator. These docs cover the products you build on, the concepts underneath them, and the research behind it all.
Products & guides
Confidential Kubernetes
Turn any Kubernetes cluster confidential. Runtime model, installation, attestation, verification — and a four-step quickstart.
Confidential Agents API
Provision and manage per-organization confidential-VM agent instances over a REST API.
Attested builds
Verifiable software provenance — what attested builds are, how they work, and the guarantees they provide.
Learn
Introduction to TEEs
A high-level introduction to Trusted Execution Environments — what they are and how they work.
Confidential Computing Primer
The full technical deep-dive: threat model, hardware foundations, memory integrity, attestation, and measurement.
Whitepapers
The c8s and Kettle design whitepapers — the architecture and the why behind the platform.
New to confidential computing? Start with the Introduction to TEEs. Ready to build? Head to the c8s docs.