Decentralized storage has long been a competitive track with many players. Filecoin ensures data security through full replication mode, Arweave offers permanent storage, and both have established their footholds in the market. But Walrus is different; it doesn't compete head-to-head but instead finds its own niche.

What appears to be a simple differentiation strategy is actually backed by very precise technical design. Walrus mainly focuses on large binary file storage, targeting heavyweight data such as AI datasets and game assets. It adopts Red Stuff erasure coding technology, keeping the replication factor between 4 and 5 times. How important is this number? Filecoin's full replication mode means data must be fully stored on multiple nodes, which is extremely costly, with bandwidth consumption soaring as well. Many small and medium-sized enterprises and developers simply can't afford it.

Walrus's design is different. It guarantees data reliability while significantly reducing storage costs and bandwidth burdens, making large-scale data storage much more cost-effective.

From the perspective of data recovery capabilities, Filecoin relies on the availability of replicated nodes. This approach has a hidden risk—if node availability is unstable, the recovery process can easily get stuck. Walrus uses erasure coding, so as long as some nodes are alive, data can be reconstructed, offering better fault tolerance and faster recovery. Simply put, for the same level of data security, Walrus achieves it with less storage overhead. This perfectly aligns with the data storage needs of the AI era.