The Future of AI: Decentralized GPUs Explained

[48:25] Episode 34

In this episode of DePINed, host Tom Trowbridge — co-founder of Fluence — speaks with Gaurav Sharma, CTO of io.net, about how the company is building a decentralized GPU network that powers the next generation of AI innovation.

They explore io.net’s architecture, tokenomics, and breakthrough products like IO Intelligence, designed to make AI compute faster, cheaper, and community-driven.

What you’ll learn in this episode:

– How io.net enables affordable, decentralized GPU access for AI development

– The platform’s three-layer ecosystem: from data to model building to deployment

– Why GPU availability is a bottleneck for AI — and how io.net solves it at scale

– How IO Intelligence simplifies MLOps and lowers the barrier to launching AI models

– The role of IO Tokens in incentivizing community-powered compute infrastructure

– How io.net’s decentralized model challenges traditional cloud monopolies

– A look at the future of AI x DePIN — and what it means for builders worldwide

About DePINed Podcast

DePINed is a podcast exploring the frontier of decentralized physical infrastructure, hosted by Tom Trowbridge, co-founder of Fluence. Each episode features in-depth conversations with founders, builders, and investors who are shaping the future of real-world Web3 networks.

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