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io.net Partners With TARS Protocol To Advance AI Within Solana

io.net will provide a network of over 11,000+ GPUs and CPUs to the TARS AI Hub, enabling faster and more efficient deployment of AI models.

Written By Jahnu Jagtap
Published 2024-09-18·Updated 2 years ago
Make The Crypto Times preferred on GoogleGoogle
io.net Partners With TARS Protocol To Advance AI Within Solana

In an announcement this Wednesday, Solana-based firms io.net, the decentralized distributed compute network designed to power machine learning at scale, and TARS Protocol, an AI-driven, scalable Web3 infrastructure for platforms native to Solana blockchain, announced a strategic partnership to advance AI-powered Web 3 infrastructure. 

The partnership will see the two tech firms join forces to “explore a range of integrations and joint initiatives aimed at accelerating the adoption of decentralized AI, machine learning and Blockchain-as-a-Service (BaaS) solutions”, the press release further stated. 

As humanity increasingly adopts AI, the TARS AI protocol aims to be at the forefront of driving this future, especially in Web 3. The platform offers a singularity point between Solana and AI, aiming at driving massive adoption natively on-chain through progressive AI architecture to the Solana ecosystem.

TARS’ application stack provides access to modular applications via its AI Console, real-time Web 3 data on its Consumer AI app, an AI Hub for consumer building tools, and a search engine, TGPT. 

The partnership with io.net aims to combine the strengths of the two firms to develop cutting-edge tools and services for AI and Web 3 developers. Building synergy will allow their users to seamlessly integrate AI with blockchain technology, accelerating the transition from Web2 to Web3 for organizations and developers.

On its part, io.net will provide a network of over 11,000+ GPUs and CPUs to the TARS AI Hub, enabling faster and more efficient deployment of AI models. Notwithstanding, TARS users will also benefit from access to io.net’s decentralized GPU clusters, cutting AI model training costs by up to 30%, while ensuring the scalability and performance needed for complex AI applications.

Finally, the partnership will also create new opportunities for ecosystem growth across both communities, as the developers build for the next stage of decentralized AI applications. To see this through, the announcement also confirmed a joint roadmap that will feature key co-marketing activities over the next six months.

The roadmap aims to drive ongoing innovation and adoption efforts to benefit the 1,000+ developers and businesses across both platforms. Users will also enjoy quicker AI deployments, reduced costs, and greater flexibility, all within a more decentralized infrastructure.

Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.

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TAGGED:Artificial Intelligence (AI)
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