Tokenizing AI Compute: Peter Abilla speaks with Kony on How Gaib Turns GPUs Into Onchain Yield

Summary

In this Block by Block episode, Peter Abilla sits down with Kony, CEO and co-founder of Gaib, to unpack how GPU tokenization can create real yield at the intersection of AI, DeFi and zero-knowledge crypto. Kony explains how his mix of finance, AI engineering and running an actual cloud business led him to see a gap: AI cloud providers have huge demand for GPUs but limited access to private credit, while crypto investors are starved for sustainable, cash flow–backed yield.

Gaib steps into that gap by financing enterprise-grade GPU deployments, securing their cash flows, and wrapping both into tokenized products that anyone can buy on-chain. Kony walks through their two-stage due diligence, risk controls, and how they work with cloud partners, OEMs and third-party custodians to verify hardware and revenue. The conversation covers Gaib’s $2B+ pipeline, DeFi integrations like Pendle’s PT/YT structures, and the long-term plan to bridge Web2 capital markets and Web3, starting with GPUs and eventually expanding into other real-world, productive assets.

Takeaways

— Kony blends finance, AI engineering and cloud-operator experience, which shapes how Gaib designs GPU-backed yield products.

— Gaib’s core mission is to deliver real yield in crypto, funded by AI infrastructure revenues instead of token emissions.

— The team treats GPUs and their cash flows as a new on-chain asset class that can be structured, financed and traded.

— There is a big market gap: many AI cloud providers cannot tap traditional private credit, despite strong demand for their GPUs.

— Gaib pre-finances enterprise-grade GPUs, then gets repaid from the cloud provider’s customer revenues over time.

— A strict, two-stage due diligence process screens partners on company data, clients, revenues, hardware and security.

— Gaib leverages industry networks, OEM/ODM relationships and third-party custodians to verify that GPUs exist and stay where they should.

— Current integrations like Pendle let investors split principal and yield, and more DeFi money markets are planned.

— The GPU pipeline already exceeds 2 billion dollars in assets, still a tiny share of a rapidly growing AI compute market.

— Long term, Gaib wants to bridge TradFi and Web3 and extend the same model to other real-world, revenue-producing assets.

Keywords

Gaib,GPU tokenization,AI infrastructure,real yield,DeFi,Kony,Block by Block podcast,enterprise GPUs,AI compute,Web3,TradFi,private credit,tokenized real world assets,Pendle Finance,PT YT structure,AI cloud providers,structured finance,cash flow backed tokens,zero knowledge cryptography,AI DeFi

Chapters

00:00:00 Introduction to Gaib, Kony’s Background and the AI x DeFi Opportunity

00:05:56 Why Crypto Needs Real Yield and How GPU Tokenization Fills the Gap

00:12:02 Financing Models for GPU Acquisition and Gaib’s Credit Structure

00:17:52 Due Diligence, Risk Management and the Scale of AI GPU Demand

00:23:57 Gaib’s DeFi Integrations, TradFi Bridge and Expansion Beyond GPUs

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