ionet partners with Synesis One to accelerate AI model development
io.net, a trailblazer in decentralized computing solutions, has recently unveiled a strategic collaboration with Synesis One, the innovative Train2Earn platform on Solana (SOL), according to information shared with Finbold on May 17.
This partnership will harness the power of io.net’s advanced decentralized compute network to optimize machine learning (ML) model training for Synesis One’s corporate clientele, thereby streamlining artificial intelligence (AI) model development.
Advancing decentralized AI solutions
This new venture marks a significant milestone in AI advancement, utilizing io.net’s extensive graphics processing unit (GPU) clusters to accelerate decentralized model training.
The collaboration capitalizes on io.net’s network, which boasts hundreds of thousands of GPUs, making it ideal for high-demand, low-latency applications like AI/ML operations and cloud-based gaming.
By democratizing access to GPU computing power, io.net delivers substantial cost savings, quicker turnaround times, and increased flexibility, aligning with Synesis One’s vision for decentralization.
Isaac Bang, CEO of Synesis One, conveyed his enthusiasm for the partnership:
“As we onboard various large clients, the scale of certain projects necessitates the development of customized ML models. It’s truly thrilling to be among the first to leverage the potential of distributed computing with io.net for enterprise AI solutions.”
AI solutions for corporate clients
With a live product and an active client base in the enterprise sector, Synesis One stands out in the AI and cryptocurrency realm as one of the few projects generating tangible revenue from AI data services.
The collaboration with io.net promises to revolutionize the AI landscape by combining their respective technologies to deliver superior value to businesses.
Together, they will concentrate on developing integrated solutions tailored to meet the specific requirements of corporate clients, with a key focus on scalability, security, and operational efficiency.
This strategic partnership underscores a shared dedication to propelling the AI field forward through innovative decentralized technology solutions, challenging the hegemony of existing centralized systems.
