Recently, I saw many discussions about Walrus on the exchange forum. Honestly, at first I didn't pay much attention, thinking it was just another project for data storage. Later, after a deeper dive, I realized there are indeed some insights—this isn't just hype, but a project that genuinely addresses the long-standing core issues in Web3: expensive file storage, easy data loss, and being bottlenecked by centralized service providers.

From a technical perspective, Walrus's approach is quite innovative. It employs a set of erasure coding algorithms called "Red Stuff" to break files into countless fragments (slivers), which are then dispersed across decentralized nodes worldwide. The coolest part is—even if 2/3 of the network nodes encounter issues or are attacked, the data can still be fully recovered. This design draws inspiration from how walruses survive in extreme environments, achieving maximum resilience with minimal redundancy (only 4-5 times), and costs over 80% less than traditional cloud storage.

But Walrus's value goes far beyond that. On the Sui chain, it treats data as programmable objects, which is a game-changer. Through blob storage, each file can embed smart logic—for example, adding a time lock to videos so only specific AI agents can access them within a certain window; or using the Seal privacy layer to enable end-to-end encryption and fine-grained permission management. In this way, Walrus isn't just a storage tool; it becomes the infrastructure for building AI data markets.

Honestly, in terms of data security and cost efficiency, Walrus has clear advantages over traditional solutions. If the Web3 ecosystem truly needs a decentralized, highly reliable, low-cost storage layer, this project’s position on Sui will become increasingly important.