In the current era of explosive growth in AI model training, gaming assets, and high-resolution media, the bottlenecks of traditional cloud storage are becoming increasingly apparent. However, Walrus directly addresses this issue: a decentralized storage protocol designed for large blob files, built on @SuiNetwork, using advanced erasure coding (Red Stuff algorithm) to fragment and store data in a distributed manner, with costs only 1/5 to 1/10 of traditional full replication, while ensuring high availability and fault tolerance.
This is not just archiving; it turns storage into programmable on-chain assets:
- Developers can directly publish, read, and version any data (AI datasets, NFT media, or even entire dApp frontends) through Move smart contracts.
- A data marketplace is taking shape, transforming data into verifiable, monetizable assets, allowing AI agents to seamlessly access and process on-chain data.
- With Sui's high speed and composability, metadata and availability proofs are fully on-chain, ensuring everything is transparent and combinable.
$WAL as a native token is used to pay for storage fees, staking nodes, and governance parameter adjustments. The mechanism design keeps costs stable (prepaid + fiat-like pricing), which is friendly to both institutions and developers in the long run.
Recently, I saw Talus AI agents choose Walrus as the default storage, and more AI infrastructure integrations are on the way. Once this foundational layer is solid, there will be a lot that can be built on top.
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If you are interested in decentralized AI, the data economy, or the Sui ecosystem, Walrus is truly the key piece of the puzzle. Go to http://walrus.xyz to check out the docs or try the CLI; it feels super smooth.
