OpenGradient Partners With Walrus For Decentralized AI On Sui Network

OpenGradient, an AI research lab, has announced its integration with Walrus, a decentralized data storage protocol, to bring decentralized AI to the Sui Network. This move is part of a broader trend in the industry where firms are turning to blockchain technology to address the centralization concerns of AI systems. The integration allows OpenGradient to host over 100 AI models across dozens of ecosystems, leveraging Walrus’ decentralized storage network to build and run decentralized AI agents.

The goal of this platform is to make decentralized AI a reality, giving users control over their own AI models. Matthew Wang, Co-founder and CEO at OpenGradient, emphasized the advantages of this approach, stating that the models would be private, cheaper to run, and more transparent. Wang believes that AI should belong to users rather than a handful of massive tech companies, and OpenGradient's mission is to give both seasoned AI developers and everyday consumers the ability to create, modify, and own their own AI models.

AI models require access to large amounts of data, which is why decentralized storage has become increasingly attractive. Rebecca Simmonds, Managing Executive at Walrus Foundation, highlighted the need for storage platforms like Walrus, which provide a decentralized solution that puts users back in control of their data. The integration with OpenGradient fills a gap in the market, allowing developers to build truly decentralized models without the privacy and control risks inherent to centralized architecture.

Thanks to open storage protocols, users will be able to see exactly what training data goes into an AI model. OpenGradient has made it possible for users and developers to tap into Walrus data storage to build and train their own models. This development is a significant step towards making decentralized AI a reality, addressing the concerns of centralization and giving users more control over their data and AI models.