Phala Cloud is infrastructure for confidential AI that combines cloud computing, trusted execution environments (TEE), and blockchain-based trust mechanisms. It’s designed for teams that need to protect data and models across the full AI lifecycle.
Confidential computing with GPU support
Developers can run confidential virtual machines, use TEE-enabled GPUs, and isolate workloads from the cloud provider.
- Confidential VMs for sensitive workloads
- GPU infrastructure with TEE support
- Support for modern GPU series: H100, H200, and B200
- Positioning and comparisons against AWS Nitro and GCP approaches
- Use cases for training, fine-tuning, and inference where privacy and compliance matter
Private AI use cases and ecosystem tools
Phala Cloud includes tools aimed at private AI workflows, including working with closed datasets, private inference, and confidential training/fine-tuning.
- Scenarios for finance, legal, and healthcare
- Support for AI SaaS builders and AI agent developers
- Developer resources such as documentation, templates, guides, and dStack
Decentralized trust and resource control
Through the Phala Network blockchain layer, compute providers can connect and resources can be managed transparently.
- Token staking with PHA
- Blockchain-based trust and governance for decentralized compute
