Among the many projects in the Sui ecosystem, Walrus targets a long-overlooked pain point—decentralized storage. Especially with the advent of the AI era, a large amount of training data and metadata need to be stored on-chain, and the efficiency and cost of existing solutions have become bottlenecks. Walrus uses RedStuff encoding technology to solve this problem, with quite noticeable results.

From a purely technical perspective, the most impressive aspect of RedStuff is its compression ratio. For large files like AI training data and NFT metadata, it can reduce storage costs by over 60% and achieve read/write speeds three times faster. Compared to established decentralized storage solutions like IPFS, Walrus’s approach clearly better meets the current Web3 ecosystem’s demands for data storage—ensuring decentralization while maintaining efficiency.

Looking at the $WAL token design, with a fixed total supply and a node staking and burning mechanism, this combination effectively locks in the token’s scarcity. This is not just a simple trading token. Holders of WAL can participate in major ecosystem decisions, such as setting storage fee rates and upgrading nodes, all decided by community voting. More importantly, you can stake WAL to become a storage node and earn the entire network’s storage revenue. Governance rights and revenue rights are combined, transforming WAL from a pure trading tool into an ecosystem rights certificate.

Looking ahead, the Sui ecosystem is still expanding, and the demand for data storage in AI applications will grow explosively. Walrus’s application scenarios will increase, directly impacting the utility value of WAL. For those interested in participating in the Web3 storage track, now is a good time to position in WAL.