Description
Phala Cloud offers a confidential AI platform designed for running AI workloads with enhanced privacy and security. It leverages Trusted Execution Environments (TEEs) on GPUs, such as Intel TDX and NVIDIA H100/H200, to ensure that sensitive data and AI models remain private during processing. This allows for private LLM inference, sealed agents, and verifiable compute.
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The platform supports the deployment of existing Docker Compose workloads, making it easy for developers to migrate their applications. Phala provides runtime measurements and cryptographic attestations, enabling users to verify the integrity and security of their AI workloads. This verifiable execution is a key feature, allowing users to trust the results of their computations.
Phala Cloud offers a GPU marketplace where users can launch H100, H200, and B300 GPU capacity with TEE-backed runtime proof and public attestations. The platform supports various AI models, including OpenAI-compatible LLM endpoints with private prompts and verifiable runtime state. Phala also provides an agent sandbox for running agent backends in a confidential VM with sealed keys, private memory, and verifiable execution.
The platform is designed for enterprise-grade compliance and security, with SOC 2 Type I certification, HIPAA compliance, and ISO 27001 certification in progress. Phala has a 99.9% uptime SLA and is GDPR compliant. The platform is trusted by over 5,000 users and industry leaders worldwide. Phala's confidential AI has been used in financial services, healthcare research, and AI SaaS platforms, demonstrating its versatility and reliability.
- CategoryMLOps & Model Deployment
- Pricing ModelFrom $3.20/GPU/hr
- DeploymentDocker
- PlatformsWeb
Confidential AI Cloud's Core Features
Confidential AI execution on TEE-protected GPUs
Private LLM inference
Sealed agents
Verifiable compute
Support for Intel TDX and NVIDIA H100/H200 GPUs
Deployment of existing Docker Compose workloads
Runtime measurements and cryptographic attestations for verification
GPU marketplace for launching GPU capacity
OpenAI-compatible LLM endpoints
Agent sandbox for running agent backends
SOC 2 Type I certified and HIPAA compliant
99.9% uptime SLA
GDPR compliant processing
Enterprise-grade security and compliance
How to use Confidential AI Cloud?
Install: Install the Phala CLI using npm.
Deploy: Deploy your Docker workload using the Phala CLI.
Configure: Configure your application within the Phala environment.
Verify: Inspect the status, logs, and attestation from the command line.
Use: Access and utilize your deployed confidential AI application.
Monitor: Monitor the application's performance and security.
Confidential AI Cloud's Use Cases
- Private LLM Inference
- Sealed Agents
- Verifiable Compute
- Financial Services
- Healthcare Research
- AI SaaS Platform
