- Mira Network’s Node Delegator Program Expands, Offering Contributors Network Rewards for Supporting AI Accuracy Improvements.
- Partnership Targets Significant Error Reduction in AI Applications, Enhancing Trust and Scalability in Decentralized Networks.
Io.net has announced a strategic partnership with Mira Network to enhance AI accuracy and reliability by utilizing decentralized GPU computing. This collaboration integrates Mira’s advanced AI verification technology with io.net’s extensive GPU infrastructure, aiming to reduce error rates and latency, thus making AI applications more dependable and scalable.
Under this partnership, Mira Network will expand its Node Delegator Program, which allows participants to contribute GPU resources to the network. This aids in executing consensus tasks, and in return, contributors receive compensation through network rewards. This program simplifies the participation process in decentralized AI by lowering technical barriers and enhancing the availability of computational resources necessary for high accuracy.
Tausif Ahmed, Chief Business Development Officer at io.net, stated:
“Our initiative is to ensure AI systems deliver consistent, reliable outputs. Partnering with Mira Network allows us to confront the challenges of AI accuracy while demonstrating decentralized computing’s potential.”
Stone Gettings, Head of Growth at Mira Network, remarked on the collaboration’s role in fostering AI adoption, emphasizing the importance of trust and reliability in scaling AI technologies. The support from io.net will be crucial in decentralizing Mira’s network, providing widespread access to effective computational power.
Stone Gettings, Head of Growth at Mira Network, added: “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 partnership addresses the critical challenge of high error rates in AI, which often reach up to 30% in complex reasoning tasks. Mira’s innovative consensus methods aim to reduce these errors significantly, targeting rates below 0.1% as research progresses.
The collaboration between io.net and Mira Network illustrates a significant step towards leveraging decentralized network capabilities to improve the precision and efficiency of AI technologies. This is expected to accelerate the adoption of AI across various sectors by offering more reliable and scalable AI solutions.
