Tianrong Internet Products and Services Inc. (OTC: TIPS) Provides Post-Launch Update on DEPIN Token and Outlines Phase II Expansion Strategy for Depinfer

Core Insights - Tianrong Internet Products and Services Inc. (TIPS) has launched the DEPIN token for the Depinfer project on the Solana blockchain, marking a significant step in its blockchain incubation and decentralized infrastructure initiatives [1][2] Operational Update - The DEPIN token has successfully graduated from incubation and completed Phase I decentralized deployment, with active trading on decentralized exchanges indicating strong market engagement [2] - Depinfer is a decentralized GPU compute-sharing protocol that allows participants to contribute idle GPU resources to support AI inference and compute workloads, rewarding them with DEPIN tokens [3] Market Validation - Early trading activity and community growth are seen as initial validation for the decentralized physical infrastructure network (DePIN) model within the GPU compute segment, which is experiencing growing demand for AI-related processing [4] Liquidity and Token Structure - Following the initial bonding curve phase, liquidity has transitioned to Raydium automated market maker pools, with the liquidity pool locked for security [4] - The DEPIN token serves as a utility mechanism for marketplace transactions, node incentives, and future governance features [4] Phase II Development Roadmap - Phase II development is expected to focus on infrastructure scaling, marketplace functionality, and ecosystem development, with completion anticipated by the end of March 2026 [5] - Project supporters can register for beta testing of governance and marketplace features by becoming DEPIN token holders [5] Strategic Positioning - Depinfer utilizes the Solana blockchain's high-throughput architecture for low-cost, high-speed settlement of decentralized compute transactions, positioning itself as an alternative infrastructure model amid rising AI processing demand [6] Future Enhancements - Future developments will include integration with additional AI frameworks, dynamic workload allocation, staking and governance features, and enhancements in data privacy and network security [8]