Tianrong Internet Launches Beta for Decentralized AI Compute Platform DEPINfer

TL;DR

Tianrong's DEPINfer platform offers early adopters a competitive edge by monetizing idle GPUs and accessing scalable AI inference at lower costs through decentralized infrastructure.

DEPINfer operates as a Solana-based marketplace where GPU providers contribute resources to earn $DEPIN tokens while developers pay for AI inference workloads with near-zero transaction fees.

This decentralized GPU sharing network democratizes AI infrastructure access, potentially reducing compute costs for developers worldwide and supporting more equitable AI development.

Imagine earning cryptocurrency by renting out your gaming PC's unused GPU power to power AI models through this innovative Solana-based sharing platform.

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Tianrong Internet Launches Beta for Decentralized AI Compute Platform DEPINfer

Tianrong Internet Products and Services Inc. has announced the beta launch of its DEPINfer website at https://www.depinfer.xyz, introducing a cloud-based GPU compute sharing platform powered by its native Solana-based utility token, $DEPIN. The platform enables users worldwide to contribute excess GPU resources while providing developers and enterprises with access to scalable, on-demand AI inference workloads through decentralized physical infrastructure networks. The DEPINfer Beta represents a significant development in decentralized AI infrastructure, built on the Solana blockchain for near-zero transaction fees and high throughput. During this initial phase, the platform integrates with io.net to deliver production-ready compute, with the $DEPIN token currently available on Raydium at https://dexscreener.com/solana/8BDudRYzBhTf2CkM2WcpM27sCLjVYzRaHpBP6rZ4KF1h.

This launch comes as the global AI infrastructure market is projected to reach approximately $1.36 trillion by 2026, with demand for AI compute expected to increase significantly through 2030. The beta phase focuses on community growth and validation of core platform mechanics. Participants can now whitelist, refer GPU providers, stake $DEPIN, and experience real-world inference workloads through the io.net-powered infrastructure layer. This initial rollout aims to demonstrate the pay-to-earn-govern utility model of $DEPIN ahead of the company's planned proprietary front-end marketplace launch within the next four weeks. The platform's current offerings include GPU compute sharing with $DEPIN incentives, an integrated referral system with whitelist access, compatibility with open-source AI frameworks, and marketplace transactions using $DEPIN with near-instant settlement via Solana.

Decentralized GPU networks like DEPINfer aim to address increasing constraints in centralized data center capacity by offering scalable alternatives that may deliver meaningful cost efficiencies while expanding access to compute resources. The company has set specific targets for the beta phase, including 1,000 user sign-ups, 200+ active GPU providers onboarded, and 10,000+ GPU compute hours utilized within the next 30 days. Following the marketplace launch in approximately four weeks, the company aims for 10,000+ total users and 100,000+ monthly GPU compute hours. By combining Solana's speed and scalability with io.net's compute infrastructure and $DEPIN's utility-driven tokenomics, DEPINfer represents an attempt to establish a decentralized sharing economy for AI infrastructure.

The platform's development comes at a time when the AI industry faces significant computational constraints, with traditional centralized solutions struggling to meet growing demand for inference capabilities. The beta launch enables GPU owners, developers, and Web3 participants to contribute to the development of decentralized intelligence systems while potentially earning rewards through the platform's tokenized incentive structure. This approach could potentially democratize access to AI compute resources that have become increasingly concentrated among large technology companies with substantial data center investments.

Curated from PRISM Mediawire

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