Depinfer Completes Phase I Decentralized GPU Deployment with Strong Early Trading Activity

Tianrong Internet Products and Services Inc. announced the successful graduation of the DEPIN token for the Depinfer project from its incubation program, marking the completion of Depinfer's first phase of decentralized deployment and its debut on the Solana blockchain via Raydium. Depinfer is a decentralized GPU compute-sharing platform designed to enable participants to contribute idle GPU resources to a distributed global network, facilitating AI inference and compute workloads while rewarding contributors with DEPIN tokens. Phase I focused on building a scalable peer-to-peer GPU infrastructure and integrating with Solana's high-speed ecosystem to ensure efficient transaction settlement and token distribution.

The DEPIN token launched on February 17, 2026 and generated significant early activity during its initial 22 hours of trading. According to publicly available DEX data, the token recorded 2,229 total transactions with approximately $192,000 in total trading volume, including $95,000 in buy volume across 1,233 buy transactions from 539 unique buyers and $96,000 in sell volume across 996 sell transactions from 517 sellers. The data showed 562 unique market participants, liquidity of approximately $5,600, and fully diluted valuation and market capitalization of approximately $4,300. Initial pooled reserves included 647,541,061 DEPIN tokens and 33.74 SOL, with the smart contract independently reviewed and no material issues reported at launch. The DEPIN/SOL trading pair can be viewed on DEX Screener.

Management believes the successful token graduation and initial trading performance demonstrate early market validation for decentralized physical infrastructure network models, particularly in the GPU compute segment where demand for AI inference capacity continues to expand. Following Phase I completion, Depinfer intends to advance to Phase II development, which will focus on expanding decentralized GPU node participation, implementing dynamic resource allocation for AI workloads, strengthening data privacy and security protocols, and establishing strategic relationships with AI developers and compute-intensive enterprises. By leveraging underutilized GPU capacity worldwide, Depinfer seeks to offer cost-efficient alternatives to centralized cloud compute providers while improving access to AI infrastructure for startups, researchers, and enterprise users. The latest news and updates relating to the company are available in the company's newsroom.