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Market News

YZi Labs Invests in USD.AI to Advance Hardware-Backed AI Financing

Written By Sneha Murali Sneha Murali
Fact Checked by Jahnu Jagtap Jahnu Jagtap
Published 2025-08-26
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YZi Labs Invests in USD.AI to Advance Hardware-Backed AI Financing

YZi Labs announced a strategic investment in USD.AI, a protocol that aims to address one of the most critical issues facing the AI industry: funding the infrastructure required to support exponential global compute demand.

The AI sector is set to need over $6.7 trillion of infrastructure investment between now and five years’ time. Whilst a few large players command massive rounds of funding, a large portion of the market is underserved. USD.AI fills this void with new model loans fully secured by physical AI hardware. 

We’re excited to welcome @YZiLabs as a strategic investor in our mission to build a dollar that scales global compute.

Grateful for the trust as we expand USDAI beyond $60M TVL and into the future of AI intelligence. https://t.co/jBQFEGKFWN

— USD.AI | Public Launch is Live (@USDai_Official) August 26, 2025

Unlike conventional financing, which takes months of cashflow-based analysis, USD.AI has the ability to close loans in less than seven days, providing critical speed for capital-hungry builders.

USD.AI has already achieved numerous milestones, exceeding $62 million in Total Value Locked (TVL) and collaborating with institutions like K3 Capital, Concrete, Euler, and Pendle to create new, innovative AutoVaults. 

These vaults enable frictionless financing of AI hardware, a testament to the need for real-world asset-backed solutions within decentralized finance (DeFi).

My first dashboard showcasing USDai usage in Arbitrum DeFi

Arbitrum enters the YBS Game with @USDai_Official ➞ Onchain Credit Backed by AI Infrastructure

A new standard is emerging on @arbitrum ➞ Called $USDai, backed by assets like GPUs, it’s a yield-bearing stablecoin that… pic.twitter.com/plwhZ29DfB

— Jonaso (@Jonasoeth) August 25, 2025

The new funding from YZi Labs will speed up USD.AI’s ambition to scale a new generation of stablecoin to grow in tandem with global compute demand essentially making every operator a hyperscaler.

At YZi Labs, we support builders who bring Web3 rails to the demands of the real world,” stated Dana Hou, YZi Labs Investment Partner. “USD.AI turns AI hardware financing into a DeFi-native yield asset.”

David Choi, co-founder of USD.AI, added: “This is a dollar that scales for Wall Street outsiders. With YZi Labs’ support, we’re excited to expand access for a new generation of AI builders.”

Also Read: YZi Labs Collaborates With 10X for BNB Treasury IPO Plan

Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.

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TAGGED:Artificial Intelligence (AI)
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Sneha Murali, Freelance Contributor at The Crypto Times
By Sneha Murali
Sneha is a passionate crypto enthusiast who specializes in transforming complex cryptocurrency news into digestible insights. Her dedication to exploring the latest in the crypto world drives her to craft engaging content that not only informs but also sparks curiosity and keeps readers coming back for more.
Jahnu Jagtap
By Jahnu Jagtap
Follow:
Jahnu Jagtap is a Senior Crypto Research Analyst at The Crypto Times, based in Ahmedabad, India. He leads the publication's technical research desk, tracking daily market momentum, Ethereum network realized profits, institutional capital flows (such as ETF inputs and major fund performance), and SEC tokenization frameworks. All advanced on-chain analysis and macro-policy developments pass through his desk to guarantee empirical precision before publication. Jahnu holds professional certifications in Blockchain and Its Applications from SWAYAM MHRD and Cryptocurrency from Upskillist. His deep immersion in live blockchain data and quantitative market cycles has shaped his meticulous approach to technical verification and structural editing on multi-layered macro stories.

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