Imagine the blockchain as a super library in a state of疯狂 expansion, with thousands of transaction data pouring in every second. The traditional approach is straightforward: to ensure information security, each branch must make a complete copy of the books and place them on the shelves. It sounds secure, but the cost issues quickly follow—storage space grows linearly, maintenance costs increase exponentially, and eventually, it hits a dead end: either move towards centralization (the library collapses), refuse new data (unable to scale), or simply lose historical records. This is the classic dilemma in the storage field.

As of early 2026, the Walrus project’s approach is quite interesting. It abandons the method of having each node store the complete data, instead fragmenting each piece of data—like tearing a book into countless tiny paper scraps and dispersing them across thousands of nodes worldwide. As long as you collect enough fragments, you can instantly restore the entire book. This methodology completely changes the game rules.

From a technical perspective, Walrus’s core competitiveness comes from the Erasure Coding scheme. While Filecoin solves the storage space problem, it always feels somewhat heavy when it comes to data retrieval smoothness. Relying on Sui’s object storage model, Walrus packages data into "Blob" structures, combined with its own redundant Byzantine mechanism for processing. The entire process runs with noticeably higher efficiency. It’s not just about stacking nodes, but making each node carry meaningful fragment information.