Kite AI, an artificial intelligence (AI) infrastructure provider, has announced a strategic partnership with GAIB, an AI compute economic layer, to establish a decentralized compute asset marketplace, according to the reports received by Finbold on Monday, December 16.
The collaboration will leverage blockchain technology to ensure secure and transparent data sharing while creating a liquid market for compute assets such as graphics processing units (GPUs).
Monetizing AI resources
Kite AI and GAIB seek to provide stakeholders with the decentralized finance (DeFi) tools necessary to monetize AI-related resources, including GPU-backed stablecoins and lending markets.
As such, the partnership is expected to empower smaller players in the sector, accelerate adoption, encourage innovation, and address a number of issues in an industry dominated by large corporations.
Kony Kwong, co-founder and Chief Executive Officer (CEO) of GAIB, described compute as the ‘new currency’, implying market access is essential:
“In the AI era, compute is the new currency, and GPUs are the new assets driving this currency. Partnering with Kite AI allows us to dismantle barriers for people to access the marketplace, unlocking new financial opportunities of the AI industry for all.”
Chi Zhang, Co-founder and CEO of Kite AI, echoed Kwong’s sentiment, stating:
“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 critical step toward that goal. Together, we’re building a decentralized, democratic, and trustless 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 turn illiquid AI resources into tokenized, tradable assets.
This approach not only creates new revenue streams for stakeholders but also makes compute and data resources more available.
Consequently, the two partners expect the collaboration to promote future AI innovation that emphasizes more than just centralized control and empowers more participants in the sector.