io.net Partners with TARS Protocol to Accelerate Decentralized AI and Web3 Solutions
io.net, a decentralized distributed compute network designed to enable machine learning at scale, has formed a strategic partnership with TARS Protocol, one of the only AI-driven, scalable Web3 infrastructure platforms native to Solana and backed by the Solana Foundation. The two firms have decided to work together to find ways to integrate their respective platforms and launch cooperative projects to hasten the spread of decentralized artificial intelligence (AI) and Blockchain-as-a-Service (BaaS) solutions.
Together, io.net and TARS Protocol are developing innovative services and solutions for the AI and Web3 ecosystems. By working together, the two firms want to quickly help developers and organizations make the shift from Web2 to Web3 by combining blockchain technology and artificial intelligence.
In order to facilitate the efficient and rapid deployment of AI models, io.net will bring its network of more than 11,000 distributed devices (Gpus + Cpus: https://id.io.net/explorer/home ) to the TARS AI Hub. The integration between TARS and io.net’s decentralized GPU clusters will allow customers to train AI models for up to 30% less money, all while getting the speed and scalability required for advanced AI applications.
As the firms push the limits of decentralized AI, this alliance creates new technological and strategic prospects for ecosystem development. io.net and TARS Protocol want to further innovation for the benefit of the 1,000+ developers and companies on both platforms. To that end, they have developed a combined roadmap that includes important co-marketing initiatives over the next six months. Users will benefit from more decentralized infrastructure, faster AI implementations, lower costs, and more flexibility.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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