AI News: Transforming DePin Networks for Cost-Effective AI Model Training
AI News Spotlight: Io.Net and TARS Protocol Partnership
Decentralized physical infrastructure network (DePin) project Io.net has announced an exciting collaboration with TARS Protocol, an AI-driven Web3 infrastructure platform. This development signifies a major leap in utilizing decentralized resources to enhance AI model training. Notably, it is expected to reduce AI model training costs by up to 30%.
Innovations in AI Scalability
Known for its decentralized distributed compute network, Io.net aims to revolutionize machine learning scalability. With this strategic partnership, Io.net integrates its extensive network of over 11,000 distributed devices, including GPUs and CPUs, into the TARS AI Hub.
- Access to Decentralized GPU Clusters
- Smooth Transition from Web2 to Web3
- Enhanced Model Training Efficiency
This integration is poised to fundamentally transform how AI models are trained, granting TARS users access to decentralized GPU clusters. Moreover, the partnership facilitates a seamless shift from traditional frameworks to the innovative, secure, and transparent structures of Web3.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.