# Confidential > The AI confidential compute platform. Confidential runs AI workloads (inference, training, agents) inside hardware-encrypted Trusted Execution Environments (TEEs). Data and code stay private during processing, can't be tampered with, and both claims are cryptographically verifiable without trusting Confidential. Deploy code unchanged. Get end-to-end privacy, enhanced security, and full verifiability with negligible performance overhead. ## Use Cases - **Private inference** — guarantee data privacy during inference. Customer prompts, responses, and model interactions are never visible to the provider or their infrastructure. - **Weight protection** — protect proprietary weights from extraction during inference or fine-tuning. Weights never leave hardware-enforced secure enclaves. - **Private training** — train on sensitive data and cryptographically prove exactly what data was used. - **Agent security** — agents run inside TEEs with hardware-enforced credential isolation. Tokens and API keys never exist in plaintext outside a TEE. - **Multi-agent trust** — agents verify each other's identity and code via cryptographic attestation before establishing trust. - **Regulatory verifiability** — prove to regulators that the audited model is what's actually running in production via verifiable attestation. ## Performance TEE overhead is minimal. Benchmarks comparing identical workloads inside TEE-enabled vs regular VMs show ~1.5% overhead. The largest overhead observed across any stage was 2.08%. | Metric | TEE Environment | Regular Environment | Difference | | ---------------- | --------------- | ------------------- | ---------- | | Execution Speed | 5.16 kHz | 5.26 kHz | -1.90% | | Runtime Duration | 89.46s | 87.78s | +1.91% | | CPU Utilization | 26.61% | 26.23% | +1.45% | | Memory Usage | 19.02 GB | 18.87 GB | +0.80% | Tested on AMD EPYC with SEV-SNP using cryptographic proving workloads (STARK proofs via zkVM) — among the most compute-intensive workloads possible. If overhead is negligible here, it's negligible for typical AI workloads. Full benchmark details: [TEE Performance on CPUs](https://confidential.ai/blog/tee-performance-cpus) ## Products Confidential is a stack of licensed software for running private AI on your own infrastructure — bare metal or any major cloud. Prompts, weights, data, and agent state stay encrypted in memory while they run, and every result carries a cryptographic attestation of what ran and where. License the layers you need, or run all of them as a managed service on [Confidential Cloud](https://confidential.ai/cloud). [Products](https://confidential.ai/products) - **Confidential Metal** — the foundation for bare metal. Turns on confidential computing on CC-capable hardware and launches CVMs you can fully measure and verify, with a hardened guest image measured from firmware to user space. - **Confidential Kubernetes (C8s)** — turns a single CVM into a platform you can host and scale on. Every workload gets an attested identity, all traffic between components is encrypted, and the control plane stays outside the trust boundary. - **Confidential Inference** — private inference on your own stack. Open-weight models behind an OpenAI-compatible API, with prompts, responses, and weights encrypted in CVM memory and an attestation on every response. - **Confidential Agents** — private, isolated CVMs for AI agents, ready over SSH in seconds, preloaded with an agent runtime and attested inference. Code, data, and keys stay invisible to the host. ## How To Use Confidential - **Confidential Cloud** — hosted TEE-backed infrastructure. On-demand inference, GPU and CPU VMs, attested CI/CD builds, and a private agents API. No code changes. [Cloud](https://confidential.ai/cloud) · [Pricing](https://confidential.ai/pricing) - **Enterprise / Licensed** — deploy Confidential's modular software stack on your own infrastructure. Use the full platform or specific pieces. On-prem, bare metal, all major clouds. [Contact sales](mailto:hello@confidential.ai). ## Confidential Cloud Services ### [Confidential Inference](https://confidential.ai/confidential-inference) Pay-per-token private inference. OpenAI-compatible API. Drop-in replacement for existing providers. 4% lower token throughput vs non-confidential; negligible impact on Time to First Token. Token pricing: | Model | Input (per 1M tokens) | Output (per 1M tokens) | | ----------------- | --------------------- | ---------------------- | | GLM 5.2 | $1.25 | $4.00 | | Qwen 3.5 35B | $0.25 | $2.00 | | Qwen3.6 27B | $0.30 | $2.00 | | DeepSeek V4-Flash | $0.20 | $0.40 | | DeepSeek V4-Pro | $2.50 | $5.00 | ### [Confidential VMs](https://confidential.ai/confidential-vms) Dedicated TEE-backed VMs. Single-GPU pass-through on all GPUs, protected PCIe on H100, multi-GPU pass-through with encrypted NVLink on B200 and B300. GPU VMs (per GPU-hour): | GPU | VRAM | Host CPU TEE | Per GPU-Hour | | ------------ | ------------ | ------------------------ | ------------ | | RTX PRO 6000 | 96 GB GDDR7 | AMD SEV-SNP | $1.50 | | H100 | 80 GB HBM3 | AMD SEV-SNP or Intel TDX | $2.00 | | B200 | 192 GB HBM3e | AMD SEV-SNP or Intel TDX | $5.00 | | B300 | 288 GB HBM3e | AMD SEV-SNP or Intel TDX | $6.00 | CPU VMs (per core-hour + per GB-hour RAM): | TEE Backend | Per Core-Hour | Per GB-Hour (RAM) | | ----------- | ------------- | ----------------- | | AMD SEV-SNP | $0.05 | $0.012 | | Intel TDX | $0.05 | $0.012 | ### [Attested Builds (Kettle)](https://confidential.ai/attested-builds) Attested CI/CD inside TEEs with cryptographic provenance. SLSA Build L3. GitHub integration. Base rate $0.008 per vCPU-minute; runners scale linearly. | Runner | Specs | Per Minute | | -------- | -------------- | ---------- | | Standard | 2 vCPU, 8 GB | $0.016 | | Medium | 4 vCPU, 16 GB | $0.032 | | Large | 8 vCPU, 32 GB | $0.064 | | XL | 16 vCPU, 64 GB | $0.128 | ### [Confidential Agents](https://confidential.ai/confidential-agents) Spin up a private, isolated agent environment in under 15 seconds. Each instance ships with the OpenClaw runtime and a bundled OpenAI-compatible inference gateway, accessible over SSH. Invisible to everyone, including Confidential. ## Components Confidential is a set of independent, composable components. Use them all or integrate individual pieces into your existing stack. For licensing, [contact sales](mailto:hello@confidential.ai). - **Attestation Service** — Generates and verifies TEE attestation reports. Trust anchor for the platform. Supports AMD SEV-SNP (VCEK/VLEK), Intel TDX, and NVIDIA CC. Continuous re-attestation with automatic certificate revocation. Public verification API and CLI. - **Certificate Distribution Service (CDS)** — Gates secret and certificate distribution on attestation. Workloads prove what they're running before receiving secrets. Optional certificate authority and TEE registry. Integrates with existing secret stores (e.g. HashiCorp Vault). - **Build Pipeline (Kettle)** — Produces attested builds: runs builds inside a TEE with cryptographic proof of inputs, environment, and outputs. Verifiable chain from git commit to running code without needing deterministic compilers. Achieves SLSA Build L3 through hardware enforcement. - **Networking & Application Services** — All networking runs inside TEEs. API gateway, multi-recipient hybrid encryption (payloads encrypted to multiple attested TEEs for reliability), firewalls, DDoS protection, load balancing. Internal mTLS with attestation-rooted certificates. - **Oblivious HTTP Gateway** — OHTTP-compatible gateway in a TEE paired with a third-party relay. Separates client identity from request content. No single party learns both who is asking and what they're asking. - **Control Plane** — Orchestration, scheduling, and autoscaling inside a TEE. Telemetry extracted from within the encrypted boundary. Optional ZK proofs verify scaling decisions without exposing per-process data. Supports on-prem, bare metal, and cloud (CPU and GPU). - **Hardened VM Image** — Minimal, hardened base OS for all workloads. No unnecessary services or debugging tools in production. Measured as part of TEE launch. SELinux, seccomp filters, network isolation. - **SDKs (Client and Server)** — Client SDK handles encryption, attestation verification, and CDS certificate negotiation. Server SDK handles attestation report generation and TEE-side encryption. Verification API and CLI for programmatic and manual checks. ### Adoption Patterns - **Attestation only:** Attestation service + SDKs — for teams adding TEE verification to existing deployments. - **Security layer:** Attestation + CDS + build pipeline — for organizations needing the cryptographic verification layer. - **Full platform:** All components end-to-end — equivalent to the hosted platform, deployed on your infrastructure. ## Enterprise Confidential works with AI labs and infrastructure providers. Components are modular and designed for existing bespoke infrastructure. [Contact sales](mailto:hello@confidential.ai) to scope an engagement. **Three-phase engagement:** 1. **Discovery** (free) — Understand your architecture and threat model. Outcome: gap analysis and pilot scope. 2. **Pilot** (1-4 months) — Deploy components on your infrastructure. Architectural deep dive, integration design, deployment, cryptographic verification. If closing the trust boundary requires components that don't exist yet, we build them. No strings attached — license or walk away. 3. **Production** — Full deployment with ongoing support. On-prem, bare metal, all major clouds. ## Documentation - [Documentation](https://confidential.ai/docs) - [Confidential Agents API](https://confidential.ai/docs/api/confidential-agents) - [Attested Builds](https://confidential.ai/docs/attested-builds) - [How Attested Builds Work](https://confidential.ai/docs/attested-builds/how-it-works) - [Provenance & Standards](https://confidential.ai/docs/attested-builds/provenance-standards) - [Threat Model & Security Boundaries](https://confidential.ai/docs/attested-builds/threat-model) - [What Are Attested Builds?](https://confidential.ai/docs/attested-builds/what-are-attested-builds) - [Overview](https://confidential.ai/docs/c8s) - [Limitations](https://confidential.ai/docs/c8s/limitations) - [Components & Data Flow](https://confidential.ai/docs/c8s/architecture/components) - [Threat Model](https://confidential.ai/docs/c8s/architecture/threat-model) - [The Allowlist](https://confidential.ai/docs/c8s/attestation/allowlist) - [CDS Bootstrapping & Verification](https://confidential.ai/docs/c8s/attestation/cds) - [Provisioning a confidential cluster on Azure (AKS)](https://confidential.ai/docs/c8s/install/azure) - [CLI Reference](https://confidential.ai/docs/c8s/install/cli-reference) - [Installing c8s](https://confidential.ai/docs/c8s/install/installation) - [Kata Containers](https://confidential.ai/docs/c8s/runtime/kata-containers) - [Pod-as-CVM vs Node-as-CVM](https://confidential.ai/docs/c8s/runtime/pod-vs-node-cvm) - [Deploy a confidential AKS cluster and run c8s](https://confidential.ai/docs/c8s/tutorials/azure-e2e) - [Deploy NVIDIA Dynamo as a confidential workload](https://confidential.ai/docs/c8s/tutorials/dynamo) - [Serving a confidential model with KServe](https://confidential.ai/docs/c8s/tutorials/kserve) - [Verified chat over confidential vLLM](https://confidential.ai/docs/c8s/tutorials/vllm-chat) - [Operator & service verification](https://confidential.ai/docs/c8s/verification/cli) - [Consumer & browser verification](https://confidential.ai/docs/c8s/verification/consumer) - [Introduction to TEEs](https://confidential.ai/docs/concepts/intro-to-tees) - [Zero-Knowledge Proofs](https://confidential.ai/docs/concepts/zk) - [Confidential Computing Primer](https://confidential.ai/docs/concepts/confidential-computing-primer) - [Threat Model & Security Boundaries](https://confidential.ai/docs/concepts/confidential-computing-primer/01-threat-model) - [Hardware Foundations](https://confidential.ai/docs/concepts/confidential-computing-primer/02-hardware-foundations) - [Memory Integrity](https://confidential.ai/docs/concepts/confidential-computing-primer/03-memory-integrity) - [Privilege & Communication](https://confidential.ai/docs/concepts/confidential-computing-primer/04-privilege-and-communication) - [Attestation & Verification](https://confidential.ai/docs/concepts/confidential-computing-primer/05-attestation) - [Measurement Strategies](https://confidential.ai/docs/concepts/confidential-computing-primer/06-measurement-strategies) - [c8s: A Confidential Kubernetes Architecture](https://confidential.ai/docs/whitepapers/c8s) - [Kettle: Attested Builds](https://confidential.ai/docs/whitepapers/kettle) ## Blog - [c8s Is Now Generally Available](https://confidential.ai/blog/c8s-ga) - [C8s: Kubernetes, Made Confidential](https://confidential.ai/blog/c8s-launch) - [Confidential Agents](https://confidential.ai/blog/confidential-agents-launch) - [Open-sourcing our Confidential Virtual Machine builder](https://confidential.ai/blog/cvm-builder) - [The Isolation Spectrum: From Plaintext to TEEs](https://confidential.ai/blog/isolation-spectrum) - [Kettle: Attested Builds from a TEE](https://confidential.ai/blog/kettle-attested-builds) - [Lunal Becomes Confidential](https://confidential.ai/blog/lunal-becomes-confidential) - [A New Mark for Confidential](https://confidential.ai/blog/new-logo) - [PrivateClaw launches on Confidential: E2E Private AI Agents](https://confidential.ai/blog/privateclaw-launch) - [Secure AI Needs TEEs](https://confidential.ai/blog/secure-ai-needs-tees) - [TEE Performance on CPUs](https://confidential.ai/blog/tee-performance-cpus) ## Company - [Team](https://confidential.ai/team): The people building Confidential. - [Careers](https://confidential.ai/careers): Open positions at Confidential. - [Email](mailto:hello@confidential.ai): hello@confidential.ai ## All Pages Complete index of top-level pages: - [Confidential AI](https://confidential.ai/) - [Attested Builds](https://confidential.ai/attested-builds) - [Confidential Cloud](https://confidential.ai/cloud) - [Confidential Agents](https://confidential.ai/confidential-agents) - [Confidential Inference](https://confidential.ai/confidential-inference) - [Confidential VMs](https://confidential.ai/confidential-vms) - [Pricing](https://confidential.ai/pricing) - [Products](https://confidential.ai/products) - [c8s-docs Style Guide](https://confidential.ai/STYLE_GUIDE) - [Team](https://confidential.ai/team) ## Full Documentation - [llms-full.txt](https://confidential.ai/llms-full.txt): Complete content from all pages — entire site in one file.