I’m looking at Walrus as a practical layer for Web3 apps that need heavy data without falling back to a single cloud provider. They’re building decentralized blob storage on top of Sui: Sui handles coordination, ownership style records, and verification, while Walrus storage nodes hold the actual file fragments. When an app stores a blob, the data is encoded with erasure coding and spread across many nodes, so the network can reconstruct it even if a portion of nodes fail or rotate out. Walrus also issues proof of availability style certificates on Sui, which lets contracts and apps confirm that a blob was accepted and should remain retrievable for the paid period. WAL is used to pay for storage time, and it also supports staking and delegated staking so operators can attract stake by being reliable. If nodes underperform, the system can apply penalties, and governance lets WAL stakeholders adjust key parameters as the network matures. How you use it is simple: a developer stores a blob, gets a reference, and then builds application logic around that reference, whether it is media for NFTs, game assets, archives, or AI datasets. It becomes especially relevant for agent apps, because agents need persistent memory and fast access to large files. The long term goal looks clear: make storage programmable and verifiable so builders can treat data as a first class onchain resource. If that works, we’re seeing a shift where content and datasets stay available across churn, and the internet becomes harder to censor or accidentally forget. I’m here for that direction.

@Walrus 🦭/acc #walrus $WAL