ionet partners with Synesis One to advance AI model development

io.net, a pioneering company in decentralized computing solutions, has recently announced a strategic partnership with Synesis One, the innovative Train2Earn platform built on Solana (SOL). This collaboration, disclosed to Finbold on May 17, will see the two companies joining forces to revolutionize machine learning model training for Synesis One’s enterprise clients by utilizing io.net’s advanced decentralized compute network.

The partnership marks a significant advancement in AI development, as io.net’s powerful graphics processing unit (GPU) clusters will be utilized to expedite decentralized model training. With hundreds of thousands of GPUs at their disposal, io.net’s network is well-suited for high-demand applications like AI/ML operations and cloud gaming.

By democratizing access to GPU computing power, io.net and Synesis One aim to reduce reliance on centralized systems, enhance privacy, and bolster data security in AI applications. Isaac Bang, CEO of Synesis One, expressed his enthusiasm for the partnership, stating, “We’re thrilled to leverage io.net’s distributed computing power for our enterprise AI solutions, especially as we onboard large clients with custom ML model requirements.”

Synesis One, distinguished in the AI and crypto space for its live product and active enterprise clientele, is set to benefit greatly from this partnership. Together, io.net and Synesis One will focus on creating integrated solutions tailored to the specific needs of enterprise clients, emphasizing scalability, security, and operational efficiency.

This strategic alliance underscores a shared commitment to advancing the field of AI through decentralized technology solutions, challenging the status quo of centralized systems. The collaboration between io.net and Synesis One is poised to reshape the AI landscape, offering unparalleled value to companies seeking cutting-edge AI solutions.

ionet partners with Synesis One to advance 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 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.

Advancing towards decentralized AI solutions, this new alliance marks a significant progression in AI advancement, harnessing io.net’s vast 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 like 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 vision of decentralization, striving to reduce dependence on centralized systems and enhance privacy and data security in AI applications.

Isaac Bang, CEO of Synesis One, conveyed his enthusiasm about the collaboration: “We are onboarding numerous large clients, and the scale of some projects necessitates us to construct custom ML models. It is incredibly exciting to be among the first to leverage the potential of distributed computing with io.net for enterprise AI solutions.”

Synesis One, with a live product and engaged enterprise clients, stands out in the AI and crypto sector as one of the few initiatives generating actual revenue from AI data services.

The partnership with io.net is poised to transform the AI landscape by combining the technologies of both companies to provide superior value to enterprises. Their joint endeavors will concentrate on developing integrated solutions tailored to the requirements of corporate clients, with a focus on scalability, security, and operational efficiency.

This strategic alliance underscores a shared dedication to propelling the field of AI forward through innovative and decentralized technological solutions, challenging the dominance of existing centralized systems.

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