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# Zuvu AI and Vana Unite Efforts to Supercharge Distributed AI on Bittensor
Zuvu AI and Vana have revealed a collaboration on February 26th, with the purpose of enhancing distributed AI on the Bittensor network. The partnership is intended to encourage a more financially viable and accessible AI environment.
Zuvu AI, previously known as SocialTensor, provides considerable expertise in scaling Bittensor subnets. Vana, recently advised by Binance founder Changpeng Zhao, contributes its groundbreaking user-controlled data network.
The collaboration aims to examine a novel paradigm for AI progress that is accessible, cooperative, and economically viable by incorporating essential layers of the distributed AI stack.
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## Generating Actual-World Worth
Art Abal, Managing Director at the Vana Foundation, mentions that the collaboration merges Vana’s data layer, Bittensor’s subnet networks, and Zuvu’s economic layer. This combination will improve Vana’s DataDAO environment and tackle vital difficulties in AI progress.
Zuvu empowers the AI economic layer, allowing models, agents, and data to be invested in, staked, traded, and monetized, creating fresh possibilities in a swiftly expanding market. The news release emphasizes that this partnership arrives at a moment when the AI market is predicted to reach trillions of dollars by 2032.
## DeFi’s Increasing Disturbance
The integration with Bittensor is tactical, utilizing its incentive-driven network to scale AI progress. By uniting user-controlled data with permissionless computation and economic incentives, this collaboration mirrors the disruptive effect of distributed finance (DeFi) on conventional finance.
According to Abal and Zuvu AI COO Daniel Raissar, the partnership is anticipated to improve Bittensor’s subnet variety, support the growth of Vana’s DataDAO, and position Zuvu as a leader in the financialization of AI, possibly impacting industry standards.
This partnership aligns with the increasing trend toward AI with open-source code, similarly to the way Bittensor has grown to include 45 operational subnets. It also tackles the demand for options to the prevailing, concentrated AI frameworks.
