Confidential Computing Technology
Tinfoil is built on top of NVIDIA confidential computing technology to deliver state-of-the-art security and performance. Our stack is open-source and cryptographically verifiable, so you don't have to take our word for it.
Source code for transparency
Code digests for auditability
Hardware-Enforced Privacy & Verification
Bare-Metal Performance
How It Works
API compatible drop-in integration
Protect data, prompts, and models
Works with existing security measures
Cloud-native deployment
Bare-metal performance
Key Benefits
Traditional AI vs. AI with Tinfoil
See the difference between trusting cloud providers with your data and having verifiably private AI using secure hardware enclaves.
Traditional AI Inference
Pinky-Promise Security
With traditional AI providers:
- Your data is only encrypted in transit but not in use
- Providers decrypt your data before processing it with AI models
- Providers can access, analyze, and potentially train on your data
- Your only protection is legal agreements (DPAs)
Tinfoil AI Inference
Verifiable Hardware-Backed Privacy
With Tinfoil's secure approach:
- Your data is encrypted directly to the GPU running the AI model
- Models run inside secure enclave environments
- Each model runs in a dedicated confidential computing GPU
- Your data cannot be accessed or shared with third parties
- These security guarantees are cryptographically verifiable
End-to-End Data Protection with Secure Enclaves
This full data flow diagram illustrates how Tinfoil's secure infrastructure protects your data at every step of the AI inference process. From encrypted transmission to secure processing inside hardware-protected enclaves, your sensitive information remains private and inaccessible, even to Tinfoil and cloud providers.
Secure Hardware Powering Tinfoil
NVIDIA Confidential Computing
Until recently, secure enclaves (like those on your phone to protect your biometrics) were restricted to CPU-only workloads and not powerful enough to run full-scale AI models.
With NVIDIA's recent release of confidential computing mode on their Blackwell and Hopper GPUs, it is now possible to couple secure enclaves with powerful GPUs to run full-scale AI models with the guarantees of traditional secure enclaves. Tinfoil makes this easy and secure.
Our platform is open-source and uses a combination of confidential computing primitives built by NVIDIA, AMD, and Intel. Everything is auditable and verifiable, providing hardware-enforced security.

Why Choose Tinfoil
Get the benefits of cloud AI with the security guarantees of on-premise infrastructure, backed by cryptographically verifiable hardware protection.
Private Cloud Infrastructure
Tinfoil runs your AI workloads in secure enclaves, ensuring your data never leaves the secure environment. Say goodbye to managing on-prem deployments; use cloud-native tools to deploy and scale your AI workloads without compromising on privacy and security.
Enterprise Data Security
Safeguard against data leaks by ensuring proprietary information and sensitive data stays encrypted in transit and in use. Defend against hackers and other malicious actors targeting your organization's intellectual property.
Compliance Ready
Meet stringent data privacy regulations with hardware-enforced security. Perfect for industries with strict compliance requirements like healthcare, finance, and government.
Supported AI Models
Access state-of-the-art open-source language models, all running in secure hardware enclaves with verifiable privacy guarantees.
Getting Started with Tinfoil
Learn More
Explore our blog posts to dive deeper into Tinfoil's technology, architecture, and how we compare to other platforms.

Introduction to Tinfoil
Discover how Tinfoil enables private AI deployment using secure hardware enclaves, extending local security boundaries to the cloud.

Technical Overview
Learn how Tinfoil uses secure enclaves to provide confidential computing with hardware-level isolation, integrity verification, and code transparency.

Platform Comparison
See how Tinfoil compares to other confidential computing platforms in terms of security and usability.