FLock.io, a community-driven platform that makes it easier to create decentralized AI models on-chain, has announced a collaboration with io.net to provide decentralized computing to FLock. By tackling the issues associated with centralized data storage and laying the groundwork for a day when AI will be used to improve human productivity, FLock and io.net are working together to decentralize AI at every stage of the technology stack.
Jiahao Sun, the founder and CEO of FLock.io, shared:
“A future powered by AI is inevitable, but we’ve already experienced the repercussions of AI products that are centrally owned and operated. This is why we are committed to facilitating community-governed AI systems via our decentralized training models. As part of this overarching mission, we’re delighted to be fully decentralizing the GPUs powering the platform with our io.net partnership.”
Ahmad Shadid, CEO of io.net, added:
“We believe that by combining io.net’s decentralized compute resources with FLock’s innovative platform, we are setting a new standard for privacy and efficiency in AI development. This partnership underscores our commitment to transforming the AI landscape by making powerful computing accessible and affordable.”
Federated learning, which allows models to learn from decentralized data sources without relocating the data itself, is used to train AI models across the FLock network. This makes it possible to collaborate without having to worry about centralized data gathering issues or possible abuse. By using idle processing capacity via io.net, decentralized hosting makes computation more available at a cost that is 90% less than that of typical cloud providers.
