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While AWS and Google Cloud are still dividing the global storage market, a Sui-based project is changing the game. Walrus tells a convincing story with three sets of data: storage costs are only one-fifth of traditional cloud services, it has already hosted 37% of Sui ecosystem NFT metadata, and after the mainnet launch, its market value once surged to $1.2 billion.
The underlying principles are actually not complicated. Walrus adopts a two-layer architecture—Sui chain handles metadata management, while off-chain distributed nodes perform actual file storage. The key is the RedStuff encoding algorithm, which divides files into multiple fragments. Even if some nodes fail, the system can still fully recover the data. It sounds like traditional distributed backup storage, but with blockchain incentive mechanisms, competition automatically drives prices down.
Why are AI companies eager to use it? Simply put, AI training processes massive amounts of unstructured data—images, speech, text. Storing this on traditional clouds is expensive and poses privacy risks. Walrus’s approach is different: enterprises can upload and call data anonymously, and through programmable storage smart contracts, they can establish ownership, turning data from a pure cost into an income-generating asset. For example, when collaborating with Bittensor to store distributed training datasets, storage fees are determined by node bidding, and the system automatically takes the 66.67th percentile bid to prevent monopolistic pricing.
But things aren’t perfect. Early investors control 30% of the initial nodes, raising concerns about centralization. Additionally, allowing data deletion conflicts somewhat with the blockchain’s "permanent storage" principle, and regulatory considerations still need to be addressed. However, the trend is shifting—Morgan Stanley is already testing storing KYC compliance documents on the chain, and the entry of traditional financial institutions could be the next trigger.
Walrus’s ambition isn’t to replace all cloud storage but to carve out dedicated channels in high-frequency, high-privacy-demand fields. The demand for low latency and data sovereignty in AI, finance, and decentralized applications gives it opportunities. Plus, with cross-chain compatibility expanding (already supporting Ethereum, Solana), if it continues to develop, it could truly become the "water and electricity grid" of the Web3 data layer.