The evolution of storage technology has always aimed for one goal—breaking the centralized monopoly and returning data ownership to users. Traditional cloud storage solutions are convenient but inherently carry the weaknesses of centralization: reliance on giants for maintenance, susceptibility to censorship, and single points of failure in availability and security.

Walrus Protocol attempts to fundamentally change this situation. Built on the Sui blockchain, it creates a decentralized storage network optimized specifically for AI applications. Especially in the current era of explosive growth in AI training data—tens of terabytes of images, videos, and model weights—traditional storage solutions are overwhelmed.

The core innovation of this project lies in Blob storage technology—capable of efficiently handling large-scale unstructured data. After upload, developers receive a permanent verifiable reference, allowing anyone to prove data integrity and validity on-chain at any time. Data is no longer controlled by a single company but is distributed across global nodes, making high availability and resistance to censorship fundamental attributes of the system.

WAL tokens are the economic engine of the entire ecosystem. Their uses are clear: paying for storage fees and incentivizing node operators to participate in network maintenance. Interestingly, this mechanism is designed to be relatively stable—through a special pricing model, even with price fluctuations, users can predict storage costs with reasonable accuracy. The total supply of tokens is 5 billion, and holders can participate in protocol governance, voting on system upgrade directions.

For developers and enterprises, joining this network offers tangible benefits: lower storage costs, no risk of unilateral shutdown, and participation in the growth dividends of the data economy. As AI applications increasingly require trustworthy and decentralized data infrastructure, the value of such projects is becoming more and more promising.