ionet collaborates with Synesis One to accelerate AI model development

io.net, a front-runner in decentralized computing solutions, has revealed a strategic collaboration with Synesis One, the groundbreaking Train2Earn platform on Solana (SOL), as disclosed to 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, simplifying artificial intelligence (AI) model development.
Moving towards decentralized AI solutions, this new venture marks a significant advancement in AI progress, harnessing io.net’s vast graphics processing unit (GPU) clusters to accelerate decentralized model training.
With a network consisting of hundreds of thousands of GPUs, io.net is ideal 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 for decentralization, striving to diminish dependency on centralized systems and heighten privacy and data security in AI applications.
Isaac Bang, the CEO of Synesis One, expressed his enthusiasm for the partnership:
“We are bringing on board numerous major clients, and the scale of some projects necessitates us to construct custom ML models. It is incredibly thrilling to be among the first to leverage the potential of distributed computing with io.net for corporate AI solutions.”
Catering to enterprise clients, Synesis One distinguishes itself in the AI and crypto realm as one of the few projects generating actual revenue from AI data services.
The collaboration between io.net is poised to transform the AI landscape by combining the technologies of both companies to deliver superior value to businesses.
Their joint endeavors will concentrate on developing integrated solutions customized to meet the requirements of enterprise clients, with a focus on scalability, security, and operational efficiency.
This strategic partnership underscores a shared dedication to advancing the realm of AI through innovative and decentralized technological solutions, challenging the control of existing centralized systems.