Decentralized storage has recently seen new developments. Faced with the AI data scarcity and high costs faced by major cloud computing providers, Walrus, a storage solution launched by Mysten Labs, offers an alternative through a unique technical approach.

Its core competitive advantage lies in the application of Red Stuff 2D erasure coding technology. Compared to traditional solutions, this approach divides data into multiple fragments with extremely low redundancy coefficients. Even if more than 50% of global nodes fail, data can still be fully recovered—meaning extreme scenarios like earthquakes, submarine cable failures, or node outages are not an issue. In terms of cost structure, it is directly an order of magnitude cheaper than existing storage infrastructure.

Even more interesting is the design of data liquidity. Files stored on Walrus are not just static assets; they can be directly invoked, modified, and packaged into NFTs or RWAs via Sui smart contracts. In other words, your videos and datasets can become tradable on-chain assets—especially attractive for AI training data, game resources, and similar applications.

Regarding ecosystem adaptation, the project is deeply integrated with Sui, while also being compatible with Ethereum and Solana, covering hot sectors like AI agents, GameFi, and DePIN. The price is stably pegged to fiat currency, avoiding the volatility issues of cryptocurrencies.

Latest data (January 10, 2026): token price fluctuates around $0.14, with a slight correction of 2-3%; market cap is approximately $220 million, with a circulating supply of over 1.57 billion tokens. From technical fundamentals to application potential, this project is worth ongoing observation.