In the 2026 landscape, AI models like DeepSeek and Qwen require massive datasets that are often too expensive to store on traditional blockchains. The #Walrus protocol solves this by treating large binary objects (blobs) as programmable resources on the Sui network.
By using $WAL, developers can store AI training weights and verifiable proofs of training in a way that is tamper-proof and accessible 24/7. Unlike centralized clouds, Walrus ensures that AI data is not owned by a single corporation. I’ve already completed my mandatory trade of $10 in $WAL to support this infrastructure. As AI agents become more common, decentralized storage will be the silent engine driving the next bull run.
