Walrus is building a unique storage solution on the Sui blockchain. The core selling point of this protocol is clear: combining privacy protection, programmable storage, and DeFi features to truly return data ownership to users.

From a technical perspective, Walrus adopts RedStuff encoding to achieve low-redundancy storage, and collaborates with Zark Lab to develop AI semantic search capabilities, allowing users to directly retrieve multi-format files using natural language, significantly improving efficiency. In terms of security, extra effort has been made—lattice cryptography is used to defend against quantum attacks, node staking mechanisms constrain participant behavior, and third-party audits provide comprehensive coverage, making security quite robust.

Funding and ecosystem collaborations are also rapidly heating up. a16z led a $140 million investment, Grayscale launched an exclusive trust product, and the global GPU resources from io.net are leveraged to support AI model training. The ecosystem scenarios are expanding across 19 pre-training fields beyond physics, covering areas such as EV data monetization, scientific research crowdfunding, educational data storage, and BTCfi payment product incubation.

In community development, Walrus and the Sui Foundation jointly launched an incubation program, with seven creative teams receiving $25,000 in funding, and the mainnet storage capacity surpassing 4167TB. Developers have also received substantial support—compatibility with TypeScript SDK and Move contracts, a dedicated track at the global hackathon, and technical advisors accompanying innovative projects throughout.

In terms of real-world deployment, Walrus has already served over 50 asset parties, with on-chain assets totaling $800 million, making tangible contributions to helping scientific research projects access data at low cost and accelerate scientific discovery. This series of actions indicates that Walrus is moving from theory to reality.