ionet partners with Synesis One to advance AI model development
io.net, a frontrunner in decentralized computing solutions, has revealed a strategic collaboration with Synesis One, the groundbreaking Train2Earn platform on Solana (SOL), according to details shared with Finbold on May 17.
This partnership will utilize io.net’s advanced decentralized compute network to optimize machine learning (ML) model training for Synesis One’s corporate customers, streamlining artificial intelligence (AI) model development.
Advancing towards decentralized AI solutions, this new alliance marks a significant progression in AI advancement, harnessing io.net’s vast graphics processing unit (GPU) clusters to accelerate decentralized model training.
io.net’s network, which includes hundreds of thousands of GPUs, is ideally suited for high-demand, low-latency applications like AI/ML operations and cloud gaming. By democratizing access to GPU computing power, io.net offers substantial cost savings, quicker turnaround times, and increased flexibility.
Both companies share a common vision of decentralization, striving to reduce dependence on centralized systems and enhance privacy and data security in AI applications.
Isaac Bang, CEO of Synesis One, conveyed his enthusiasm about the collaboration: “We are onboarding numerous large clients, and the scale of some projects necessitates us to construct custom ML models. It is incredibly exciting to be among the first to leverage the potential of distributed computing with io.net for enterprise AI solutions.”
Synesis One, with a live product and engaged enterprise clients, stands out in the AI and crypto sector as one of the few initiatives generating actual revenue from AI data services.
The partnership with io.net is poised to transform the AI landscape by combining the technologies of both companies to provide superior value to enterprises. Their joint endeavors will concentrate on developing integrated solutions tailored to the requirements of corporate clients, with a focus on scalability, security, and operational efficiency.
This strategic alliance underscores a shared dedication to propelling the field of AI forward through innovative and decentralized technological solutions, challenging the dominance of existing centralized systems.