Hassan Maishera
io.net, a leader in decentralized computing solutions, announced on Friday, May 17th, that it has entered into a strategic partnership with Synesis One, the first Train2Earn platform on Solana.
In a press release obtained by Cryptowisser, io.net said this partnership leverages its advanced decentralized compute network to power the training of ML models for Synesis One's enterprise clients, facilitating more efficient and accessible AI model development.
While commenting on this latest development, Isaac Bang, CEO of Synesis One, said,
“We’re onboarding a number of large clients, and the scope of some projects require us to build out custom ML models. It’s extremely exciting to be one of the first to harness the power of distributed computing with io.net for enterprise AI solutions.”
The partnership will also leverage io.net's extensive GPU clusters to accelerate decentralized model training. With a shared vision for decentralization, io.net and Synesis One are committed to reducing dependencies on centralized systems, thereby enhancing privacy and data security in AI applications.
The two entities will explore integrated solutions tailored to the needs of enterprise clients, prioritizing scalability, security, and operational efficiency. io.net added that the collaboration indicates a shared commitment to enhancing the AI development ecosystem through innovative and decentralized technology solutions.
Synesis One is an enterprise AI data engine, that provides a whole suite of data solutions for companies and governments. The platform helps its clients crowdsource data generation and data preprocessing (tagging, annotations, labelling) that is needed to train AI.
Meanwhile, io.net is a decentralized physical infrastructure network (DePIN) that deploys and manages on-demand, decentralized GPU clusters from geo-distributed sources. Hundreds of thousands of GPUs are accessible today in IO Network, and this Internet of GPUs is specifically architected for low latency, high processing demand use cases like AI/ML ops and cloud gaming.
