io.net, a leader in decentralized computing solutions, has announced a strategic partnership with Synesis One, the pioneering Train2Earn platform on Solana (SOL), as per the information shared with Finbold on May 17.
The collaboration will leverage io.net’s sophisticated decentralized compute network to enhance machine learning (ML) model training for Synesis One’s enterprise clients, streamlining artificial intelligence (AI) model development.
Towards decentralized AI solutions
The new partnership represents a significant leap forward in AI development, utilizing io.net’s extensive graphics processing unit (GPU) clusters to expedite decentralized model training.
io.net’s network, comprising hundreds of thousands of GPUs, is perfect for high-demand, low-latency applications such as AI/ML operations and cloud gaming.
Democratizing access to GPU computing power, io.net offers significant cost savings, faster lead times, and enhanced flexibility.
Both companies share a vision for decentralization, aiming to reduce reliance on centralized systems and enhance privacy and data security in AI applications.
Isaac Bang, CEO of Synesis One, expressed his excitement about the partnership:
“We’re onboarding a number of large clients, and the scope of some projects requires us to build out custom ML models. It’s extremely exciting to be one of the first to harness the power of distributed computing with io.net for enterprise AI solutions.”
AI for enterprise clients
With a live product and active enterprise clients, Synesis One stands out in the AI and crypto space as one of the few projects generating real revenue from AI data services.
The partnership between io.net is set to revolutionize the AI landscape by combining both companies’ technology to offer superior value to companies.
Their joint efforts will focus on creating integrated solutions tailored to the needs of enterprise clients, with an emphasis on scalability, security, and operational efficiency.
This strategic alliance underscores a mutual commitment to advancing the field of AI through innovative and decentralized technology solutions, challenging the dominance of existing centralized systems.
