Web3 ecosystem faces an unavoidable problem in 2026: data storage. With explosive growth in AI applications, traditional decentralized storage solutions are either prohibitively expensive or lack flexibility, becoming a bottleneck for on-chain application expansion.

The Walrus protocol offers an alternative path backed by actual data. This storage system based on the Sui blockchain uses Reed-Solomon erasure coding technology, reducing storage costs to one five-hundredth of Arweave levels, with data availability reaching 99.99%. These numbers might seem like just statistics, but their real value lies in this: it's cheap while allowing dynamic modification and deletion of data, making GDPR and other compliance requirements no longer a nightmare for decentralized storage.

From a practical application perspective, this solution has already been adopted by projects in the Sui ecosystem. After projects like Tusky and TradePort integrated it, the system's daily data processing volume exceeded 10PB, covering everything from NFT metadata to AI training datasets. This demonstrates that demand is real and commercial deployment is progressing.

More interesting is the cross-chain design. Walrus's interoperability architecture breaks the situation where storage services are confined to a single chain. Data is no longer the private asset of a single blockchain, but can flow across chains. As leading exchanges successively evaluate its token listing, and cooperation with AI infrastructure like Bittensor deepens, this project is expanding from its data layer role in the Sui ecosystem to a broader multi-chain space.