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Tianrong Internet Products and Services Inc. Announces DEPIN Token Graduation and Phase I Completion for Decentralized GPU Platform Depinfer

By FisherVista

TL;DR

TIPS's Depinfer token launch on Solana offers early investors access to decentralized GPU compute sharing, potentially gaining advantage in the growing AI infrastructure market.

Depinfer's Phase I built a peer-to-peer GPU network on Solana, enabling contributors to share idle resources for AI workloads and earn DEPIN tokens through verified transactions.

Depinfer's decentralized platform makes AI infrastructure more accessible and affordable globally by utilizing underutilized GPU resources, benefiting startups, researchers, and enterprises.

Depinfer's DEPIN token saw 2,229 trades in 22 hours, connecting 562 participants in a novel GPU-sharing network for AI computation on Solana.

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Tianrong Internet Products and Services Inc. Announces DEPIN Token Graduation and Phase I Completion for Decentralized GPU Platform Depinfer

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. This development represents a significant step forward for decentralized physical infrastructure network models, particularly in the GPU compute segment where demand for AI inference capacity continues to expand.

Depinfer is a decentralized GPU compute-sharing platform designed to enable participants to contribute idle GPU resources to a distributed global network. The protocol facilitates 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. The data showed $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 trading activity involved 562 unique market participants with liquidity of approximately $5,600 and fully diluted valuation of approximately $4,300. The DEPIN/SOL trading pair can be viewed on DEX Screener.

The importance of this development lies in its potential to disrupt traditional cloud computing models by leveraging underutilized GPU capacity worldwide. By offering cost-efficient alternatives to centralized cloud compute providers, Depinfer seeks to improve access to AI infrastructure for startups, researchers, and enterprise users. This could democratize access to high-performance computing resources that are increasingly essential for AI development and deployment across multiple industries.

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. The initial trading performance demonstrates early market validation for decentralized infrastructure models in the rapidly growing AI sector.

Tianrong Internet Products and Services Inc. will continue to support Depinfer through advisory, technical, and strategic resources as the project scales its decentralized network. The company's newsroom provides additional information at https://tinyurl.com/tipsnewsroom. This development represents a tangible implementation of blockchain technology to address real-world infrastructure needs, potentially creating new economic opportunities for GPU owners while expanding access to computational resources essential for AI advancement.

Curated from PRISM Mediawire

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FisherVista

FisherVista

@fishervista