Recently, a fascinating storage project has emerged in the Sui ecosystem—Walrus Protocol. To be honest, many storage projects on the market sound impressive but often face numerous issues in practice: slow upload/download speeds, exorbitant fees, and sometimes the cost of storing a file exceeds the cost of calling data.

Walrus's approach is completely different. It uses Reed-Solomon erasure coding technology with a straightforward core logic—breaking data into multiple fragments and then dispersing them across verified nodes on the network. What are the benefits of this approach? On one hand, security is guaranteed (even if some nodes fail, data availability is unaffected), on the other hand, the cost structure is more optimized.

To compare scenarios: storing a 100G video file on traditional on-chain storage is prohibitively expensive. But with Walrus's distributed architecture, after data compression and dispersal, costs can be reduced by over half, and query speeds are surprisingly fast.

From a token perspective, WAL supports several core functions. Node operators stake WAL to participate in network validation and earn a share of storage fees. Meanwhile, WAL holders have governance rights—deciding on the project's technical direction and parameter adjustments through community voting. From a deflationary perspective, as the ecosystem expands and storage demand increases, WAL consumption also rises, making this design interesting in terms of liquidity.

In terms of progress, Walrus is still in its early stages, and the potential of the entire Sui storage track is definitely worth paying attention to.