io.net’s decentralized GPU infrastructure powers Mira Network’s next-gen AI output verification, driving scalability, cost-efficiency, and unmatched accuracy.
In a major and strategic move, the decentralized GPU compute provider, io.net has entered into a partnership with Mira Network, a leader in trustless AI verification. Driven by the motive to enhance the accuracy, scalability and accessibility of AI systems, this partnership will address the growing demand for more reliable AI outputs.
This partnership between io.net and Mira Network comes at a time when there is an increase in reliance on AI, especially when it comes to decision-making processes. This comes about since the accuracy levels of the outputs have been way off, especially in tasks that require advanced reasoning. For instance, at the moment, AI models have error rates that are as high as 30%, which is a staggering figure to have for errors considering the risk they pose to industries that rely on precision and consistency.
This being the case, Mira Network has taken it upon itself to tackle this problem through a consensus-based verification system that works by cross-checking AI-generated output across several models. By doing so, Mira looks forward to reducing first-pass errors to under 5%, and in the long run, further getting it to a number that is less than 0.1%.
To achieve its vision, Mira will take advantage of io.net’s decentralized network of GPUs which provide effective, scalable and globally distributed computing power, which will allow Mira to process larger AI workloads with high efficiency and lower costs.
According to Tausif Ahmed, Chief Business Development Officer at io.net, this partnership addresses a fundamental challenge in AI adoption. This is clear from his comment in which he was keen to say,
“AI’s full potential can only be realized once it can be fully assured of providing consistent, reliable, and unbiased insights. Through this partnership with Mira Network, we’re not only addressing AI’s accuracy challenges but demonstrating the power of decentralized compute.”
One of the aspects that stand out in this partnership is Mira Network’s Node Delegator Program, which stands to greatly benefit from io.net’s GPU infrastructure. How will this work? So, the program will allow organizations and even individuals to delegate their GPU resources to the course which supports the AI verification process. While so doing, the participants can earn network rewards for their contributions, resulting in the creation of a decentralized ecosystem of people playing a role in improving the role that AI plays in reliability.
Stone Gettings, Head of Growth at Mira Network, emphasized the significance of this initiative by saying,
“At Mira, we believe that AI’s vast potential is only just beginning to be discovered and that reliability and trust will be integral to accelerating adoption. As we prepare to launch our Node Delegator Program, the support of io.net will prove invaluable in further decentralizing our network while providing users with access to reliable compute.”
This integration of Mira with io.net’s GPU infrastructure will go a long way in enabling it to scale its verification operations to meet the growing demand in the industry as it will be utilizing consensus techniques to do the cross-checking from several available models. With this in place, any discrepancies will be flagged and the system will identify the errors before delivering the final output. This partnership comes along with some major achievements with one of them being Mira having the ability to achieve faster verification times, lower latency and reduced overall costs.
