ionet partners with Synesis One to advance AI model development
io.net, a prominent player in the realm of decentralized computing solutions, has revealed an exciting collaboration with Synesis One, the groundbreaking Train2Earn platform operating on Solana (SOL). This news was shared with Finbold on May 17.
This partnership is set to harness the power of io.net’s cutting-edge decentralized compute network to optimize machine learning (ML) model training for Synesis One’s corporate clientele, thereby simplifying the development of artificial intelligence (AI) models.
In a move towards decentralized AI solutions, this innovative alliance marks a significant stride in AI advancement, utilizing io.net’s extensive clusters of graphics processing units (GPUs) to accelerate decentralized model training.
io.net’s network, which boasts 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 not only offers substantial cost savings and faster lead times but also enhances flexibility.
Both io.net and Synesis One share a common vision of decentralization, with a focus on reducing dependence on centralized systems and bolstering privacy and data security in AI applications.
Isaac Bang, the CEO of Synesis One, shared his enthusiasm for the collaboration, stating, “We are in the process of onboarding several major clients, and the complexity of certain projects necessitates the development of custom ML models. It is truly thrilling to be at the forefront of leveraging distributed computing with io.net for enterprise AI solutions.”
Synesis One stands out in the AI and crypto landscape with its live product and active enterprise clients, generating substantial revenue from AI data services. The partnership with io.net is poised to revolutionize the AI industry by combining the strengths of both companies to deliver exceptional value to businesses.
Together, they will focus on creating integrated solutions tailored to the specific requirements of enterprise clients, with an emphasis on scalability, security, and operational efficiency.
This strategic alliance underscores a shared dedication to advancing the field of AI through innovative and decentralized technology solutions, challenging the supremacy of existing centralized systems.
