In an era of data monopolies and centralized storage, a project is emerging in the Sui ecosystem—Walrus Protocol. This is a decentralized storage solution designed specifically for AI large models and on-chain applications.

The problems with traditional cloud storage are obvious: single points of failure, data censorship risks, and privacy leaks. Walrus uses distributed Blob technology to slice data and disperse it across a global network of nodes, forming redundancy and protection. Whether it’s AI model weights, generative content, or NFT assets—regardless of data type—once uploaded, it receives on-chain verification and tamper-proof storage proof. Users no longer rely on a centralized service provider but truly own their data.

The WAL token carries the economic incentives of this network. Holders can use it to pay for storage and retrieval fees, and also participate in network governance—voting on protocol iterations and sharing the benefits of ecosystem growth. With a total supply of 5 billion WAL tokens and a fee stabilization mechanism, storage costs remain relatively controllable and won’t spike due to token price fluctuations.

From a technical perspective, Walrus breaks the dependency of AI applications on centralized storage. Developers can confidently upload large-scale training data or generative content without worrying about unilateral deletion or modification. This represents a tangible technical upgrade for Web3 creators and AI application teams. As AI and on-chain applications explode, the demand for decentralized storage will only grow stronger.