AI explosion, surge in high-quality NFTs—the Web3 world is being overwhelmed by data. Training a decent AI model requires an astronomical amount of data, and 4K, 8K video NFTs, audio files are even monstrous in throughput. On-chain storage? Too expensive to believe. Turning to centralized cloud services? That would betray the original intention of Web3.

This contradiction has found a breakthrough at Walrus Protocol.

Simply put, what Walrus does is straightforward but ruthless—making storage both ridiculously cheap and sufficiently flexible and programmable. Your NFT metadata, high-definition videos, personal databases—store whatever you want, all on truly decentralized networks, with costs reduced to levels you wouldn’t expect. What’s the coolest part? Even if one-third of the network nodes fail simultaneously, complex mathematical algorithms ensure your data can still be fully recovered. Such fault tolerance is hard to find anywhere else in the market.

But Walrus’s ambitions go far beyond this.

The dream of decentralized AI has long been stuck on a pain point: how to store and transfer massive model weights and datasets in permissionless environments? Walrus’s architecture is uniquely suited for this, almost tailor-made for DeAI. It’s easy to imagine that in the future wave of decentralized AI, Walrus could become one of the most fundamental and critical infrastructures.

Looking at the role of $WAL—the token—it acts as a bridge between storage providers and data demanders, the lifeblood of the entire ecosystem. Ultimately, what we’re seeing is not just a storage solution, but the gradual formation of infrastructure for the Web3 media era and AI era. This story is just beginning.