This captures the essence: transforming legal and accounting logic into verifiable code.

@Walrus 🦭/acc $WAL #Walrus
AI runs on endless streams of data, but centralized systems just slow things down and leave too many gaps. Walrus steps in and changes the game. Instead of just storing files, it turns data into a real marketplace—datasets become digital assets you can buy, sell, or trade right on the blockchain. Since its mainnet went live in early 2025, more than 170 projects have plugged in. That’s helped AI developers actually use data in creative, profitable ways.
Walrus isn’t just another storage solution. It’s decentralized blob storage—perfect for massive files like AI training sets, videos, and documents. It uses the Sui blockchain to keep things organized, and with Move virtual machine support, those blobs aren’t just sitting there. They become programmable pieces you can actually work with. Walrus has rolled out cross-chain support for over 100 networks. Plus, it’s landed big partnerships—think OneFootball, which now uses Walrus for media hosting. Privacy is front and center, so you’re not just getting another cloud storage clone. Right now, it’s handling terabytes of data out in the wild.
Take a closer look at how it moves data around. When you upload a file, Walrus slices it up using two-dimensional erasure coding. That means your data gets spread across different nodes, so even if something goes down, you can put it back together with minimal hassle. Every upload gets an onchain proof-of-availability certificate, so everyone knows the data is there and retrievable for a set time. That ties right into staking—nodes lock up resources to keep the system running smoothly without racking up crazy costs.
Everything runs on the WAL token. You pay for storage with it, and every transaction burns a bit of WAL, which keeps the supply tight and the token valuable. If you run a node, you can stake and get rewarded for keeping things online. Token holders get a say in how the protocol grows—like voting in 2025 to make Walrus play nice with AI agents. All these features create real utility and drive adoption.
Picture yourself building an AI data marketplace with Walrus. You upload your dataset as a blob and pay in WAL. The system chops it up, spreads it out, and puts a certificate onchain inside a Sui smart contract. That lets you set who can access or trade the data. Integrations like Talus Network let AI agents grab and process data privately. Cross-chain tools mean you can even sell to Ethereum users. Suddenly, you have a marketplace where anyone, anywhere, can buy or sell global datasets without worrying about censorship.
Walrus opens the door for all sorts of projects—AI agents that need rock-solid data, media companies that want secure sharing, decentralized sites that can’t afford downtime. Data moves freely, no middlemen needed. Sure, encoding takes some extra horsepower up front, so uploads might lag behind the instant speed of centralized clouds. But you make that up later with lower costs and tougher resilience.
Here’s what matters: Walrus transforms data blobs into programmable assets on Sui, plugs into tons of other networks, runs on a deflationary token, and fits right into the Web3 wave of AI monetization. You get security, control, and a shot at new data economies—plus the trade-off of a little extra processing on the front end.
So, where do Walrus partnerships go from here? How far can they take AI data trading across different chains? And as these markets grow, what new privacy hurdles are waiting just around the corner?