Building Decentralized Storage That Scales
Decentralized storage is often treated as a novelty. Many protocols work fine in demos but crumble under heavy load. Real applications—whether they handle user data, large media files, or scientific datasets—require systems that can scale reliably.
Walrus approaches this challenge pragmatically. Using blob storage and erasure coding, files are split into pieces and distributed across the network. If some nodes go offline, the system can still reconstruct the data. This combination of redundancy and decentralization turns what was once a “cool idea” into usable infrastructure.
The economic layer, WAL, keeps it all functioning. Staking and incentives reward honest providers, while governance ensures the network adapts as it grows. The result? Storage that’s secure, resilient, and built to support real-world applications, not just experiments.
