Deep Dive
1. Migration to Ethereum L2 Completed (19 November 2025)
Overview: Phala Network finalized its migration from Polkadot to Ethereum Layer 2 on November 19, 2025, sunsetting its Polkadot parachain. Assets were frozen on Polkadot and are now claimable via Phala’s app, with staking, governance, and rewards continuing seamlessly on Ethereum L2. This transition followed a community vote citing Ethereum’s liquidity advantages and scalability for confidential AI workloads.
What this means: This is bullish for PHA because it positions Phala within Ethereum’s larger developer ecosystem and DeFi liquidity pools, potentially broadening its user base. The migration also reduces operational costs while aligning with enterprise demand for scalable privacy solutions.
(Source: Phala Network)
2. NVIDIA H200 Integration (11 November 2025)
Overview: Phala Cloud integrated NVIDIA’s H200 GPUs on November 11, 2025, enabling confidential AI processing within Trusted Execution Environments (TEEs). Available from $2.30/hour, these instances target developers handling sensitive data like model training and inference, with full hardware isolation.
What this means: This is bullish for PHA because enterprise-grade hardware lowers barriers to confidential AI adoption, potentially increasing platform usage and token utility. It strengthens Phala’s competitive edge against centralized cloud providers by balancing cost and privacy.
(Source: Phala Network)
3. LazAI Partnership (14 August 2025)
Overview: Phala partnered with LazAI on August 14, 2025, to provide TEE-based privacy infrastructure for AI agents. The collaboration enables secure agent wallets, private data validation, and confidential model training, leveraging Phala’s hardware-level security.
What this means: This is bullish for PHA because it expands real-world use cases for confidential computing in personalized AI, potentially driving demand for Phala’s network resources. The integration demonstrates practical utility beyond theoretical privacy advantages.
(Source: Phala Network)
Conclusion
Phala’s Ethereum migration and hardware upgrades signal a sharp focus on scalable, enterprise-ready confidential AI. Can these integrations translate into measurable adoption among developers and institutions in 2026?