ionet partners with Synesis One to advance AI model development
io.net, a frontrunner in decentralized computing solutions, has revealed an exciting collaboration with Synesis One, the groundbreaking Train2Earn platform on Solana (SOL), as reported by Finbold on May 17.
This partnership will harness io.net’s advanced decentralized compute network to optimize machine learning (ML) model training for Synesis One’s corporate customers, streamlining the development of artificial intelligence (AI) models.
Advancing towards decentralized AI solutions, this new venture signifies a significant progression in AI development, utilizing io.net’s extensive 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 such as 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 goal of decentralization, seeking to diminish dependence on centralized systems while enhancing privacy and data security in AI applications.
Isaac Bang, the CEO of Synesis One, conveyed his enthusiasm about the partnership, stating, “We are onboarding several major clients, and the scale of certain projects necessitates the development of custom ML models. It’s truly exhilarating to be at the forefront of leveraging distributed computing with io.net for enterprise AI solutions.”
With a fully operational product and an active client base in the enterprise sector, Synesis One distinguishes itself in the AI and crypto realms as a rare project that generates substantial revenue from AI data services.
The collaboration with io.net is poised to transform the AI landscape by combining the technological expertise of both companies to deliver superior value to businesses.
Their joint endeavors will concentrate on creating integrated solutions tailored to meet the requirements of enterprise clients, with a focus on scalability, security, and operational efficiency.
This strategic partnership underscores a shared dedication to propelling the field of AI forward through innovative and decentralized technological solutions, challenging the supremacy of prevailing centralized systems.