io.net and Mira Network have joined forces to redefine trustless AI verification, combining decentralized GPU compute with advanced consensus techniques to deliver faster, more accurate, and cost-efficient AI output validation.
Owing to the challenges bedevilling AI’s persistent challenges with accuracy, reliability, and scalability, io.net, a leading decentralized physical infrastructure network (DePIN) for GPU compute and Mira Network, a pioneer in trustless AI output verification have partnered up to come up with a solid solution to these troubles by empowering advanced AI applications with decentralized solutions.
At the very heart of this partnership lies Mira Network’s consensus-driven AI verification system which reduces error rates by a huge margin. So, by integrating io.net’s decentralized GPU network, Mira will gain access to a vast, cost-effective computer power which will in turn enable faster and more reliable AI output validation. As a result, the partnership looks forward to enhancing Mira’s operational efficiency and reducing latency while driving the costs further down.
Tausif Ahmed, Chief Business Development Officer at io.net, highlighted the impact of the partnership, stating,
“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.”
As part of the agreement, this partnership will also play a part in supporting Mira’s Node Delegator Program which is a decentralized initiative that allows contributors to delegate GPU resources as well as participate in AI verification operations. And, by leveraging io.net’s GPU network which is distributed across the globe, participants can earn rewards through their participation in the AI verification process. As a plus, this program will eliminate the existing entry barriers to allow both individuals and organizations to take part in the future of AI consensus.
Stone Gettings, Head of Growth at Mira Network, was also not left behind as he emphasized the role of trust and reliability in AI adoption commenting,
“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.”
As the adoption of AI continues to surge, so do the complexities of ensuring the reliability of the output. That being the case, it is worthy to note that advanced reasoning can have error rates that could be as high as 30%, an aspect that creates a significant barrier to its use on a larger scale. But, with Mira Network, such troubles can be resolved through the consensus approach which works by cross-referencing AI-generated outputs from multiple models to lower first-pass errors below 5%. However, with research still an ongoing process, Mira is on a trajectory to reduce the errors to a figure of less than 0.1%, which will set a new standard when it comes to accuracy in AI verification.
By leveraging io.net’s GPU infrastructure, Mira has secured itself the ability to scale its verification processes without leaving speed and precision out. And, with io.net’s vast network of GPUs that are globally distributed, Mira is assured of access to low latency which will be coupled with high-performance computing power. As a result of this infrastructure, Mira Network will be in a better position to easily meet the demands of its growing clientele while still being able to maintain seamless performance, even for the most complex AI verification tasks.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.
