Maximize your thought leadership

Tianrong Internet Products Launches $DEPIN Token on Solana for Decentralized AI Compute Marketplace

By Advos

TL;DR

Tianrong Internet Products and Services Inc. launches $DEPIN token on Solana, offering early participants potential gains in the growing $106 billion AI inference market through decentralized GPU sharing.

The $DEPIN token powers DEPINfer's decentralized marketplace by enabling micropayments for GPU compute resources, with 60% supply allocated to public bonding curve and governance features for token holders.

DEPINfer's global GPU sharing platform democratizes AI access by reducing compute costs 50-80%, making advanced technology more affordable and accessible worldwide while utilizing idle hardware resources.

Tianrong's $DEPIN token turns idle gaming PCs into AI powerhouses, creating a global marketplace where anyone can rent out their GPU for crypto rewards on the Solana blockchain.

Found this article helpful?

Share it with your network and spread the knowledge!

Tianrong Internet Products Launches $DEPIN Token on Solana for Decentralized AI Compute Marketplace

Tianrong Internet Products and Services Inc. has launched its $DEPIN utility token on the Solana blockchain through Raydium Launchpad, marking a strategic expansion into decentralized physical infrastructure networks and artificial intelligence inference markets. The token powers DEPINfer, a decentralized marketplace that aggregates idle GPU computing resources from gaming PCs, workstations, and data centers worldwide to provide scalable AI inference and training services.

The initiative addresses significant challenges in the AI industry, where centralized cloud providers often impose high costs and supply constraints. According to the company, DEPINfer could reduce AI inference expenses by 50-80% compared to traditional cloud services while eliminating vendor lock-in. This development matters because it democratizes access to computational resources needed for AI development, potentially accelerating innovation across industries that rely on artificial intelligence technologies.

The $DEPIN token serves multiple functions within the ecosystem, including payment for inference jobs, rewards for GPU providers who share their computing power, and governance rights for platform decisions. GPU contributors can earn tokens based on compute power shared and jobs completed, with additional staking opportunities for enhanced yields. The marketplace implements a 5-10% transaction fee structure, with portions directed toward token buybacks, burns, and ecosystem development.

Token distribution followed a community-focused fair launch model, with 60% of the total supply allocated to public participation through Raydium Launchpad's bonding curve. The remaining 40% is reserved for migrated liquidity, vested team allocations, and long-term incentives including provider rewards and community airdrops. The token is now accessible through Raydium's launch platform during its bonding curve phase.

This launch positions TIPS at the intersection of two rapidly growing markets. Industry projections estimate the AI inference market could reach $106 billion by 2030, while decentralized compute networks are expected to grow to $10-15 billion during the same period. By leveraging Solana's high-throughput blockchain, which already hosts established DePIN projects like Render Network, the company aims to create a scalable infrastructure for affordable AI computation.

The implications extend beyond immediate cost savings. By creating a global sharing economy for GPU resources, the platform could unlock computational capacity that would otherwise remain idle, particularly from gaming computers and small-scale data centers. This approach not only makes AI development more accessible but also creates new revenue streams for hardware owners. The company will provide updates on platform development through its official website and social channels as the project progresses toward full implementation.

Curated from PRISM Mediawire

blockchain registration record for this content
Advos

Advos

@advos