The core requirements of data storage ultimately boil down to two things: security and durability. There is a project called Walrus that recently developed a unique technical architecture, claiming to meet the "十一九" durability standard—simply put, the probability of losing a file within a century is as low as one in a hundred billion.

Behind this impressive promise is a technology called Red Stuff Erasure Coding. Its working principle is quite interesting: first, split your file into multiple fragments, then distribute them across a decentralized network of nodes, while generating additional redundant repair data. The most impressive part is that even if two-thirds of the nodes in the network fail simultaneously or act maliciously, the system can still fully recover the original file using these repair data.

Currently, Walrus's node count has expanded to hundreds, and the team plans to continue scaling up to thousands of nodes. The more nodes there are, the higher the redundancy of the entire network, and the more reliable the data durability.

This level of security commitment is especially attractive for scenarios that require long-term storage of critical data. For example, blockchain archives, AI model training datasets, NFT-related digital assets, or some irreplaceable cultural records—all can be reliably protected within such a system. From a technical perspective, this indeed addresses a long-standing pain point in the Web3 world.