Confidential Virtual Machines combine the simplicity of containerization with hardware-level security. Deploy any Docker container to Trusted Execution Environments (TEE) ensuring complete data isolation from cloud providers and system administrators.
Hardware Support
From CPU-intensive workloads to GPU-accelerated AI, we support all major Trusted Execution Environment technologies.
Performance
95% native performance with full security guarantees. 2-5% CPU overhead, 5-7% GPU overhead while maintaining hardware acceleration.
Intel TDX Architecture
Trust Domain Extensions for x86 with CPU-generated keys and TDX Report attestation. Best for web services and traditional ML.
Learn moreAMD SEV
Secure Encrypted Virtualization technology providing VM-level isolation with encrypted memory for diverse workloads.
Learn moreNVIDIA Confidential Computing
H100/H200 GPU TEE for AI workloads with 80GB+ secure memory and hardware memory encryption on GPU.
Learn moreMulti-Hardware Support
Deploy across Intel Xeon 4th gen (Sapphire Rapids), NVIDIA H100/H200, and AMD EPYC processors from a single unified platform.
Mobile and edge computing support with ARM Confidential Compute Architecture for IoT and edge deployments.
GLOBAL INFRASTRUCTURE
Our distributed infrastructure spans multiple continents, providing low-latency access to confidential computing resources globally
1848
Total vCPUs
24
Total H200 GPUs
6
Global Locations
Use your existing Docker workflow - no code changes needed. Build, tag, and deploy containers exactly as you do today.
Technical Benefits
Hardware-backed security guarantees with enterprise-grade performance.
Hardware-level encryption of all memory pages with CPU/GPU generated keys
5% overhead while maintaining full security guarantees and hardware acceleration
Protection against privileged access, cold boot, and side-channel attacks
Deploy existing Docker containers without code changes or special libraries
Real-time cryptographic proof of integrity with public verification endpoints
Support for Intel TDX, NVIDIA GPU TEE, and AMD SEV from one platform
Deploy confidential containers using your existing development stack. No need to learn new tools or change your workflow.
GitHub
Docker
Supabase
OpenAI
Anthropic
Jupyter
Databricks
TensorFlow
PyTorch
Kubernetes
MongoDB
Ethereum
Coinbase
Solana
LangChain
Vercel
Next.js