As 2026 approaches, the amount of Web3 data is growing exponentially, but large file storage has become a headache for developers and users. Traditional cloud service providers are fast, but privacy is hard to guarantee, they are easily censored, and subscription fees are still high; decentralized solutions like Filecoin rely on miner bids, which are volatile and slow to recover; Arweave promotes permanent storage but can be prohibitively expensive for ordinary people.

Against this backdrop, Walrus Protocol, as a native storage solution in the Sui ecosystem, directly addresses these pain points with a self-developed Red Stuff 2D erasure coding technology. How does it work? Large files (blobs) are transformed into matrix structures, with erasure coding extended along rows and columns. This results in two sets of fragments, primary and secondary, with each storage node only needing to store one pair. The overall replication factor is controlled at 4-5 times, yet it can support a 2/3 fault tolerance rate. Even if many fragments are lost due to network issues, nodes can quickly reconstruct the original file through local computation, with recovery bandwidth only equivalent to the size of the lost data—much more efficient than traditional full-file download schemes.

What is the most direct benefit? Storage costs are reduced by over 80%. Storing a 10GB high-definition video or AI dataset costs only a few cents, so developers no longer need to worry about storage expenses. This technological breakthrough makes storage no longer a bottleneck for Web3 applications, but rather opens up new possibilities for the next generation of data infrastructure.