Walrus is built for a simple problem that keeps hurting builders: blockchains can verify ownership, but they cannot cheaply keep big data available forever. The protocol splits responsibilities so the storage network holds the bytes and Sui holds the record of what was stored, for how long, and under what terms. When a user uploads a blob, the client encodes it into redundant pieces and spreads them across storage nodes, so no single operator is a point of failure. Once enough evidence is collected, an onchain proof of availability is created, which is the moment apps can treat the blob as real infrastructure instead of a hopeful upload. Reading works the same practical way: a user gathers enough pieces to reconstruct the original, so partial outages do not mean data loss. WAL supports the system by paying for storage and by securing node selection through delegated staking, where stake and performance influence who carries responsibility in each epoch. I’m cautious about two things, because they decide whether the network earns trust: stake concentration and correlated failures that knock many nodes offline at once. They’re addressing those pressures with verifiable proofs, incentives that reward reliable service, and penalties meant to discourage shortcuts. In day to day use, Walrus can back up application files, datasets, media, and logs, while letting smart contracts reference the data and its remaining lifetime. The long term goal is that storage becomes programmable and boring, meaning developers can assume availability the way they assume a database, and users can feel that important data is owned, not rented.
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