Kite AI, an artificial intelligence (AI) infrastructure provider, has announced a strategic partnership with GAIB, an economic AI computing layer, to establish a decentralized marketplace for computing equipment, according to reports received by Finbold on Monday, December 16.
The partnership will use blockchain technology to ensure secure and transparent data exchange while creating a liquid market for computing resources such as graphics processing units (GPUs).
Monetizing AI assets
Kite AI and GAIB aim to provide stakeholders with the decentralized finance (DeFi) tools needed to monetize AI-related assets, including GPU-backed stablecoins and credit markets.
As such, the partnership is expected to empower smaller industry players, accelerate adoption, encourage innovation and address a number of issues in a sector dominated by large corporations.
Kony Kwong, co-founder and Chief Executive Officer (CEO) of GAIB, described compute as the “new currency,” implying that market access is essential:
“In the AI era, computing is the new currency, and GPUs are the new assets powering that currency. By working with Kite AI, we can break down the barriers for people to access the market, unlocking new financial opportunities from the AI industry for everyone.”
Chi Zhang, co-founder and CEO of Kite AI, echoed Kwong’s sentiment, saying:
“We envision an AI landscape where innovation is driven by a diverse ecosystem of contributors, not monopolized by a few giants. Our partnership with GAIB is a crucial step toward that goal. Together we are building a decentralized, democratic and trustworthy AI economy.”
How can Kite AI and GAIB increase AI liquidity?
As part of the collaboration, Kite AI will rely on a blockchain-based coordination layer to bring AI models, datasets and agents to a decentralized platform.
On the other hand, GAIB will leverage its economic framework to convert illiquid AI resources into tokenized, tradable assets.
This approach not only creates new revenue streams for stakeholders, but also makes computing and data resources more available.
Consequently, the two partners expect the collaboration to foster future AI innovation that emphasizes more than just centralized control and empowers more participants in the industry.
