OpenGradient Taps Walrus to Power Decentralized AI on Sui

OpenGradient Taps Walrus to Power Decentralized AI on Sui
OpenGradient Taps Walrus to Power Decentralized AI on Sui

OpenGradient integrates Walrus on Sui to enable open, user-owned AI models using decentralized data storage.

As concerns mount over the concentration of power in today’s AI landscape, a new wave of innovators is turning to blockchain technology to level the playing field. OpenGradient, an AI research lab focused on decentralization, has announced its integration with Walrus—a decentralized storage protocol—on the Sui Network. The partnership marks a significant step toward building AI systems that are transparent, user-controlled, and censorship-resistant.

OpenGradient will leverage Walrus to host and operate decentralized AI agents, enabling more than 100 models to run across multiple ecosystems. The project aims to challenge the dominance of centralized AI infrastructure by giving users direct ownership over their AI models and data.

“AI isn’t something that belongs to a handful of massive tech companies; it belongs to users and always has,” said Matthew Wang, Co-founder and CEO of OpenGradient. “Our mission has always been to empower both developers and everyday users to create, control, and own their own AI models. This integration brings us one step closer to making that vision real.”

Why Decentralized Storage Matters for AI

AI models depend heavily on access to massive datasets—but in centralized systems, this comes at a cost: opacity, lack of user control, and significant privacy risks. Walrus, developed by Mysten Labs, offers a decentralized alternative that allows data to be stored in a transparent and permissionless environment.

Rebecca Simmonds, Managing Executive at the Walrus Foundation, emphasized the importance of infrastructure like Walrus for decentralized AI.

“For years, developers have been stuck with centralized solutions that limit privacy and user agency,” she said. “By integrating with OpenGradient, we’re enabling a model of AI that’s open, verifiable, and truly decentralized—giving users back control over their data.”

A Transparent Future for AI Training

Through Walrus, developers and users can now inspect and verify the training data behind AI models—a game-changer for transparency and accountability in machine learning. OpenGradient’s integration enables anyone to store, train, and modify AI agents on-chain, setting a new precedent for open-source intelligence tools.

As Web3 infrastructure continues to mature, the convergence of decentralized storage and AI has the potential to reshape the way intelligent systems are built and governed. With this move, OpenGradient and Walrus are laying the groundwork for a future where AI is no longer a black box controlled by a few—but a public utility shaped by many.


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