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Welcome to the official documentation for Phala Cloud - the secure cloud platform that enables AI developers to deploy applications with hardware-level privacy and verifiable computation.
Phala Cloud is a next-generation cloud solution built on Dstack that provides you with a secure, user-friendly environment for running AI applications. You can deploy any standard Docker application directly into a Trusted Execution Environment (TEE), ensuring your AI models and data remain confidential and tamper-proof.
- Confidential AI Computing: Run LLMs and AI models in GPU TEE with hardware-level security
- Verifiable Results: Cryptographic proof that your AI computations are genuine and unmodified
- Privacy Protection: Complete confidentiality for your models, data, and algorithms
- Easy Deployment: Deploy existing Docker applications with zero code changes
- Cost Effective: Web2 pricing model with transparent, second-level billing
New to Phala Cloud? You can start here:
Deploy your first secure application in minutes Explore the complete cloud platform features Run LLMs in GPU TEE environmentsUnderstanding Phala Cloud's architecture:
Learn how TEE provides hardware-level security Secure cryptographic key generation and management Developer tools for building on Phala CloudNeed help? We're here to assist:
- Documentation Issues: Report problems with our docs on GitHub
- Technical Support: Join our Telegram community for real-time help
- Enterprise: Contact us for enterprise solutions and partnerships
Ready to build secure AI? Get started with Phala Cloud →