Decentralized storage has been stuck in a dead end—either copying a bunch of complete data replicas to ensure security, which results in skyrocketing costs; or using one-dimensional erasure codes to save costs, but when data gets corrupted, recovery consumes huge bandwidth and is painfully slow.

Walrus Protocol's Red Stuff two-dimensional erasure coding technology directly tackles this dilemma. Through a creatively designed matrix coding architecture combined with self-healing mechanisms, it achieves the simultaneous goals of "low redundancy, high security, and fast recovery"—something that was unimaginable before.

Numbers speak for themselves: compared to other storage solutions, Walrus can reduce costs by 80%-99%. Moreover, in terms of data durability and access speed, it pushes centralized cloud services to the brink. For the large-scale data storage needs of Web3, this is truly a breakthrough solution.

What makes Red Stuff so brilliant? Simply put, it rewrites the entire logic of data sharding and redundancy generation. Traditional one-dimensional erasure codes (like Reed-Solomon coding) split data in only one dimension, but Red Stuff employs a two-dimensional matrix coding approach—first organizing the original data into a matrix, then applying a dual coding process to generate redundancy: primary coding is done column-wise, secondary coding row-wise. As a result, data recovery becomes much more efficient and flexible. This "intelligent redundancy distribution" method has carved out a new path for Walrus in the storage arena.