Why AI Needs @Walrus 🦭/acc to Stay Decentralized.
The biggest bottleneck for AI in Web3 isn't just compute—it's data. Training AI models requires massive, verifiable datasets. Centralized clouds can censor this data or hike prices at any time. This is where walrusprotocol enters the chat.
By providing a cost-effective, permissionless layer for unstructured data, Walrus allows AI developers to store model weights and training sets with full transparency. Because it is built on Sui’s object-based architecture, $WAL enables "Active Storage." This means data isn't just sitting in a digital drawer; it's live, searchable, and ready for decentralized AI agents to use in real-time.
As we see more "AI-native" applications launching this year, the need for a robust data availability layer is non-negotiable. #Walrus is positioning itself as the foundational library for the decentralized world.
#WAL #Walrus #MarketRebound #SuiNetwork
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