ionet partners with Synesis One to accelerate AI model development

io.net, a frontrunner in decentralized computing solutions, has revealed a strategic collaboration with Synesis One, the groundbreaking Train2Earn platform on Solana (SOL), according to details shared with Finbold on May 17.

This partnership will harness the advanced decentralized compute network of io.net to optimize machine learning (ML) model training for Synesis One’s corporate customers, simplifying the development of artificial intelligence (AI) models.

Toward decentralized AI solutions

This new alliance marks a substantial advancement in AI development, utilizing io.net’s extensive clusters of graphics processing units (GPUs) to accelerate decentralized model training.

The partnership between io.net and Synesis One is poised to transform the AI landscape by merging their technologies to deliver superior value to businesses.

Their collaborative efforts will concentrate on developing integrated solutions tailored to the requirements of corporate clients, with a focus on scalability, security, and operational efficiency.

This strategic partnership underscores a shared dedication to pushing the boundaries of AI through inventive and decentralized technological solutions, challenging the supremacy of existing centralized systems.

ionet partners with Synesis One to accelerate AI model development

io.net, a trailblazer in decentralized computing solutions, has revealed a strategic collaboration with Synesis One, the groundbreaking Train2Earn platform on Solana (SOL), as reported 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, streamlining artificial intelligence (AI) model development.

Taking a step towards decentralized AI solutions, this new alliance marks a significant advancement in AI development, making use of io.net’s vast clusters of graphics processing units (GPUs) to accelerate decentralized model training.

io.net’s network, which consists of hundreds of thousands of GPUs, is ideal for high-demand and low-latency applications like AI/ML operations and cloud gaming. By democratizing access to GPU computing power, io.net offers substantial cost savings, quicker lead times, and increased flexibility.

Both companies share a common vision of decentralization, seeking to lessen dependence on centralized systems and improve privacy and data security in AI applications. Isaac Bang, the CEO of Synesis One, expressed his enthusiasm for the partnership, stating, “We’re bringing on board a number of major clients, and some projects require us to develop custom ML models. It’s incredibly thrilling to be among the first to leverage the potential of distributed computing with io.net for enterprise AI solutions.”

With an operational product and active corporate clientele, Synesis One shines in the AI and crypto sectors 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 merging the technologies of both companies to deliver superior value to businesses.

Their joint efforts will concentrate on creating integrated solutions tailored to the requirements of enterprise clients, focusing on scalability, security, and operational efficiency. This strategic partnership underscores a shared dedication to advancing the field of AI through innovative and decentralized technological solutions, challenging the supremacy of existing centralized systems.

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