Think of Walrus like a calm, patient walrus carrying big, heavy things across the ocean. Instead of worrying about tiny boxes called “files,” Walrus is built around blobs — simple, large pieces of data. This choice is not an accident. It comes from a very practical idea: at global scale, data is often big, messy, and doesn’t always fit nicely into file-shaped boxes.
A blob-first design means the network focuses on storing, verifying, and moving large chunks of data efficiently and reliably. Whether that blob represents a video, an archive, a dataset, or something else is up to the people using the network. Walrus cares about keeping that data durable and available across many independent nodes, without assuming how it will be used later.
This also makes the system simpler and more flexible. Fewer assumptions, fewer layers, and fewer special cases. Just solid storage for big data, shared by the network. The community builds on top of this foundation, adding structure where it’s needed. Like a real walrus, it’s not about being fancy — it’s about being strong, steady, and dependable over long distances.
