In the competition for data storage on the blockchain, the true advantage has never been about who has the largest warehouse, but who can do the job at lower costs and with higher stability.

Traditional centralized storage solutions have obvious issues: single points of failure can paralyze the entire system, and costs are layered and increased. For Web3 projects and autonomous agents, they are already overwhelmed by expenses before even getting started.

Walrus Protocol has taken a different approach. Built on the Sui public chain, this solution uses distributed Blob storage technology to split videos, images, datasets, and other content across nodes worldwide. Using erasure coding, even if network fluctuations occur, data can be fully restored. High availability no longer depends on a centralized node, and costs are reduced to about one-tenth of centralized solutions.

From the testnet launched early last year, this scheme has demonstrated practical feasibility. Developers can upload and retrieve data via API calls, with complex underlying logic hidden away. From node verification mechanisms to subsequent governance frameworks, the entire ecosystem is designed quite systematically.

The Walrus Developer Platform is the core hub of this ecosystem. AI researchers can upload training data, game development teams can host high-definition assets, and different roles can collaborate and exchange data on the same platform. The WAL token acts as an incentive mechanism to drive the operation of the entire ecosystem, without overshadowing the main focus.

The upcoming WalrusTrade feature will further expand the scope of imagination, enabling decentralized datasets to enter stages of compliant trading and sharing. Based on the current waiting list, many early participants have already gathered.

The essence of data storage is to reduce costs and risks. The solutions provided by Walrus Protocol are making these two goals more achievable.