ATRNX.AI founder Luo Tingtai: Decentralized AI requires dual engines of mainnet collaboration and privacy computing.

Techub News reported that at the Global Web3 Dev Con, hosted by Web3Labs and co-hosted by TRON, Pharos, and Techub News, Luo Tingtai, founder of ATRNX.AI, stated that decentralized AI requires two key elements: mainnet-style collaboration to achieve autonomous decision-making and decentralized infrastructure with privacy computing. His team has built a decentralized AI foundation based on TEE privacy computing and GPU parallel computing power, launching the ATRNX.AI mainnet, which plans to deploy tens of thousands of nodes globally, with 3,000 nodes already operational. The platform integrates DPS architecture, time-series large models, and financial data extraction capabilities, combining RWA and on-chain quantitative strategies to build a visual fund and AI automated trading system. It empowers government, enterprise, and institutional scenarios, activating the value of dormant on-chain capital.