When it comes to Web3 storage, there's an unavoidable pain point—the outbound bandwidth fees from AWS.

Ironically, after all these years of shouting "decentralization," the most painful expense in project teams' financial reports is still the "traffic bill" paid to a major cloud service provider. When storing data, it’s all smiles; but when trying to read out trained AI models or 4K videos for users, that cost makes it clear what it means to be "data-locked."

Walrus's strength lies in redefining "read costs." Using the Red Stuff mechanism to break files into countless small Blobs, Walrus enables all network nodes to share the traffic load, completely breaking the single-point billing model of centralized servers. In other words, a video platform running on Walrus won't see bandwidth costs skyrocket exponentially with user growth—instead, they are naturally diluted by the decentralized network.

This counterintuitive design of "the more traffic, the cheaper it gets" truly empowers startup teams drained by traffic fees to make a decisive break from the Web2 paradigm.