In the era of explosive data growth, someone finally breaks through the bottleneck of decentralized storage. Mysten Labs' Walrus is rewriting the rules of storage with an innovative technological system.

The core of this system is Red-Stuff 2D erasure coding. Compared to traditional full-replication schemes that are costly, or the old problem of 1D erasure coding with low recovery efficiency, this technology merges two worlds—storage efficiency is a hundred times faster than Filecoin and Arweave, and it can self-repair, easily handling data loss risks.

The Quilt feature is a clever solution for small file scenarios. Batch packing and storing scattered files reduces costs by a factor of 420. For high-frequency small file scenarios like NFT metadata and AI training data, this means scaling up is no longer a luxury.

The ecosystem development pace has not slowed down. In collaboration with generative AI video platform Everlyn, Walrus has already taken over a 50GB training dataset to support real-time model iteration. It also partners with io.net to build a decentralized AI computing platform, tying storage and computing power together, so users no longer need to switch between different services. Privacy access control, cross-chain compatibility, and other features further complement the platform, making it suitable for everything from personal files to enterprise applications.

Behind the $140 million funding, the WAL token distribution plan is also quite interesting—over 60% flows to the community. The deflationary model appreciates as network activity increases, incentivizing long-term participants. From the technical foundation to ecological applications, Walrus is redefining the value distribution of data. The $WAL token's role in this process has gone far beyond a simple protocol token—it's more like an entry ticket to the data economy in the AI era.