By In a significant move to accelerate the adoption of decentralized artificial intelligence (AI) and Blockchain-as-a-Service (BaaS) solutions, io.net, a decentralized distributed compute network, has announced a strategic partnership with TARS Protocol.
TARS Protocol is an AI-driven, scalable Web3 infrastructure platform backed by the Solana Foundation.
Together, the two companies are aiming to revolutionize the integration of AI and blockchain technologies to propel organizations and developers from Web2 to Web3.
io.net and TARS Protocol aim to reduce AI model training costs by 30%
The collaboration between io.net and TARS Protocol will leverage the strengths of both companies to develop cutting-edge tools and services for the AI and Web3 ecosystems.
io.net’s network, consisting of over 11,000 distributed devices (GPUs and CPUs), will be integrated into the TARS AI Hub.
This integration is expected to reduce AI model training costs by up to 30% while enhancing scalability and performance for complex AI applications.
For TARS users, this means quicker and more cost-effective AI model deployments.
The companies expect to benefit the 1,000+ developers and businesses across both platforms, enabling faster AI-powered solutions while utilizing a decentralized infrastructure.
Pioneering decentralized AI and blockchain technology
This partnership opens up new possibilities for ecosystem growth, both technically and strategically. io.net and TARS Protocol have planned a joint roadmap featuring co-marketing activities over the next six months.
By combining their resources, the companies seek to drive ongoing innovation in decentralized AI, offering users reduced costs, enhanced flexibility, and seamless integrations.
The integration of io.net’s decentralized GPU clusters with TARS Protocol’s Web3 infrastructure will not only boost performance but also provide a more scalable and decentralized alternative for businesses looking to harness the power of AI in the blockchain space.
With the combined expertise of both organizations, the partnership is set to shape the future of AI-powered Web3 infrastructure.
Key features of the io.net and TARS Protocol partnership:
- Cost savings of up to 30%: TARS users will benefit from lower AI model training costs through io.net’s decentralized GPU clusters.
- Increased efficiency: The partnership will enable faster AI model deployments while maintaining scalability for complex applications.
- Future roadmap: io.net and TARS Protocol have planned co-marketing activities over the next six months to drive ecosystem growth.
The post io.net partners with TARS Protocol to advance AI-powered Web3 infrastructure appeared first on Invezz
