ionet partners with Synesis One to enhance 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 information shared with Finbold on May 17.
This partnership aims to utilize io.net’s advanced decentralized compute network to optimize machine learning (ML) model training for Synesis One’s corporate customers, simplifying artificial intelligence (AI) model development.
Taking a step towards decentralized AI solutions, this new alliance signifies a major advancement in AI development, utilizing io.net’s vast graphics processing unit (GPU) clusters to accelerate decentralized model training.
io.net’s network, which consists of hundreds of thousands of GPUs, is ideal for high-demand, low-latency applications like AI/ML operations and cloud gaming. By democratizing access to GPU computing power, io.net provides substantial cost savings, quicker turnaround times, and increased flexibility.
Both companies are aligned in their vision for decentralization, striving to reduce dependency on centralized systems and enhance privacy and data security in AI applications.
Isaac Bang, CEO of Synesis One, expressed his enthusiasm about the partnership: “We’re bringing on board several major clients, and some projects require us to develop custom ML models. It’s truly exciting to be among the first to leverage the capabilities of distributed computing with io.net for enterprise AI solutions.”
With an operational product and engaged corporate clients, Synesis One stands out in the AI and crypto industry as one of the few projects generating actual revenue from AI data services. The collaboration with io.net is poised to transform the AI landscape by merging both companies’ technologies to deliver superior value to businesses.
Their joint efforts will concentrate on creating integrated solutions tailored to the specific requirements of enterprise clients, prioritizing scalability, security, and operational efficiency.
This strategic partnership underscores a shared dedication to advancing the field of AI through inventive and decentralized technology solutions, challenging the supremacy of current centralized systems.