- The partnership assumes to reduce AI model training times by up to 30%.
- io.net and TARS will provide powerful artificial intelligence tools to over 1,000 developers.
In an important initiative towards advancing decentralized artificial intelligence (AI) and Blockchain-as-a-Service (BaaS) solutions, io.net, a decentralized distributed computing network, has announced a strategic cooperation with TARS Protocol. This cooperation aims to improve the way enterprises and developers shift from Web2 to Web3 by combining AI and blockchain technology.
The Solana Foundation supports the TARS Protocol, which is well-known for its scalable Web3 infrastructure platform.By merging its AI-powered capabilities with io.net’s decentralized network, the alliance hopes to expedite and improve AI model training and deployment.
Accelerating AI Deployment
The combination of io.net’s decentralized GPU clusters with TARS Protocol’s AI-based solutions is intended to increase AI deployment efficiency. By pooling resources, the alliance hopes to shorten AI model training durations by up to 30% while also delivering a scalable infrastructure designed for Web3 apps. This development will benefit more than 1,000 developers and businesses by providing improved AI-powered services and solutions.
io.net’s vast ecosystem of over 11,000 distributed devices will connect to TARS’ AI Hub, allowing for speedier AI model training and contributing to a more durable decentralized AI infrastructure. The alliance aims to reduce operational costs, boost system flexibility, and meet the growing need for decentralized computing in areas such as AI, gaming, and machine learning.
io.net and TARS Protocol have decided to collaborate on marketing and development initiatives over the next six months. This collaboration will push the technical evolution of the decentralized AI ecosystem, with an emphasis on lower latency, faster AI deployments, and a stable environment for applications like AI operations and cloud gaming.
As a market leader in decentralized physical infrastructure networks (DePIN), io.net provides low-latency computing via hundreds of GPUs. The collaboration with TARS Protocol is critical for increasing GPU utilization and lowering costs, hence meeting the growing need for decentralized computing solutions.
By combining their skills, io.net and TARS Protocol intend to change the landscape of decentralized AI, offering scalable and efficient solutions to meet the demands of a quickly changing digital world.
