Storage has always been a bottleneck in Web3. Where should data be stored? Centralized servers are risky, and on-chain storage is too expensive. Walrus Protocol offers a new approach on Sui.

The core logic is clear: using erasure coding technology to disperse data across distributed nodes, which significantly reduces costs compared to traditional solutions and actually increases reliability. Imagine the massive data used for AI training, not relying on a single cloud provider, but sliced and scattered across the network. This approach is not only more secure but also protects sensitive information through the Seal privacy layer.

What are the recent developments? Walrus and Sui are working more closely together. NFT projects can store large files here, and real-time data markets are starting to adopt it. Many dApps are trying it out, addressing real storage pain points.

What about the WAL token? It’s not just for paying fees, but more importantly, for governance rights. Holders can participate in protocol upgrade decisions, which is where long-term value lies. Community-driven upgrade routes are more reliable than closed-door development.

In short, Walrus is rebuilding the data infrastructure of Web3. From technical architecture to ecological implementation, it’s worth paying attention to.