The biggest bottleneck for AI in Web3 has always been where to put the data. Storing a 10GB AI training model or a 4K video file on-chain was historically impossible or prohibitively expensive. Enter @Walrus 🦭/acc
What makes Walrus unique is that it transforms static data into programmable resources. Through its integration with Sui’s Move language, a developer can write a smart contract that automatically scales storage, manages access permissions, or even updates file metadata without a central intermediary. This is a game-changer for:
AI Agents: Autonomous agents can now rent their own storage space using $WAL to store and retrieve datasets.
Dynamic NFTs: Imagine an NFT whose high-resolution media evolves based on on-chain events.
Decentralized Social Media: Fast, millisecond-level retrieval means videos load instantly for users, matching the experience of Web2 giants like YouTube.
With a total supply of 5 billion tokens, the $WAL ecosystem is built for long-term sustainability. By lowering storage costs to a fraction of legacy providers while maintaining Byzantine Fault Tolerance, Walrus isn't just a storage protocol—it’s an application platform. #walrus
