Walrus is a decentralized way to store large files so apps can rely on data without depending on one company. It uses Sui as the coordination layer, where storage commitments, payments, and availability proofs are recorded, while a separate network of storage nodes holds encoded pieces of each file. Instead of copying full files everywhere, Walrus uses erasure coding, so the original can be rebuilt from enough pieces even if some nodes go offline. A key moment is the onchain proof of availability, which marks when the network has accepted responsibility for keeping the file available for the paid period. I’m interested because this design makes storage verifiable and programmable, so contracts and apps can check that data is still there. They’re building for real-world churn, where nodes fail, networks lag, and incentives matter, so staking and penalties are meant to reward steady operators. In the end, the purpose is simple: make data feel durable, auditable, and easier to own. If you track one metric, watch how fast proofs are issued and how reliably files can be reconstructed during outages.
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