• @Walrus 🦭/acc

  • Support AI-related use cases: Walrus can store clean data sets of training data, datasets with a known and verified provenance, models, weights, and proofs of correct training for AI models. It can also store and ensure the availability of an AI model output. OpenGradient and Talus are two live examples built on Walrus.

  • Store media for non-fungible tokens (NFTs) or dApps: Walrus can directly store and serve media such as images, sounds, sprites, videos, game assets, and so on. This is publicly available media that is accessed using HTTP requests at caches to create multimedia dApps. See Pudgy Penguins for an example of Walrus-stored NFTs.

  • Store long-term archives of blockchain history: Walrus can act as a lower-cost decentralized storage for blockchain history. For Sui, this might include sequences of checkpoints with all associated transaction and effects content, as well as historic snapshots of the blockchain state, code, or binaries.

  • Support availability for L2s: Walrus allows parties to certify the availability of blobs, as required by L2s that need data to be stored and attested as available to all. This might also include availability of extra audit data such as validity proofs, zero knowledge proofs of correct execution, or large fraud proofs.

  • Support a fully decentralized web experience: Walrus can host fully decentralized web experiences, including all resources such as JavaScript, CSS, HTML, or media. These web experiences are capable of both providing content, as well as hosting the UX of dApps to enable applications with fully decentralized front ends and back ends on-chain. To learn more, see Introduction to Walrus Sites.

  • Support subscription models for media: Creators can store encrypted media on Walrus and limit access through decryption keys to parties who have paid a subscription fee or have paid for content. Walrus provides the needed off-system storage, encryption, and decryption.#Walrus $WAL

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