What is Phala Network (PHA)?

Deep Dive

1. Purpose & Value Proposition

Phala Network aims to solve the “AI execution problem” in Web3 by making AI understandable and interactive with blockchains. Its core value is confidential computing—allowing sensitive data and AI models to be processed in a private, verifiable manner that even cloud providers cannot access. This enables use cases like private AI inference, secure DeFi oracles, and agentic AI that can autonomously interact with smart contracts, bridging Web2 applications with Web3 securely.

2. Technology & Architecture

The network relies on Trusted Execution Environments—secure, hardware-isolated enclaves (like Intel SGX)—where code runs in a tamper-proof environment. Developers write “Phat Contracts,” which are off-chain programs that handle heavy computation, internet connectivity, and private data. Results are attested and posted on-chain. The architecture uses two node types: TEE Workers that execute contracts, and Gatekeepers that manage consensus and verification. Following a community vote, Phala fully migrated from a Polkadot parachain to an Ethereum Layer 2 in late 2025 to enhance scalability and integration with the EVM ecosystem (Cointelegraph).

3. Tokenomics & Governance

The PHA token has a fixed supply of 1 billion. It serves three primary functions: staking by workers and gatekeepers to secure the network, payment for computational resources on Phala Cloud, and governance voting in the decentralized autonomous organization (DAO) that decides on protocol upgrades and treasury allocation. This model aligns incentives among users, providers, and token holders.

Conclusion

Phala Network is fundamentally a privacy-first cloud infrastructure that uses secure hardware to enable confidential AI and generic computation for Web3. Its evolution from Polkadot to an Ethereum L2 reflects a strategic focus on scalability and developer reach. As AI becomes more integrated with blockchain, how will Phala’s TEE-based approach compete with other privacy technologies like zero-knowledge proofs?