Decentralized storage has always faced the same old problem—you find it hard to achieve security, efficiency, and speed all at once. Traditional erasure coding schemes either compromise on recovery speed or require stacking redundant data, which naturally increases costs. Walrus, the storage layer in the Sui ecosystem, solves this deadlock with its self-developed Red Stuff 2D erasure coding protocol.

So, what’s the result? In simple terms, storage redundancy efficiency reaches five times the industry’s leading level, and the bandwidth required for data recovery is directly cut by 60%. Behind this are three layers of technological stacks working together.

**The first layer, 2D matrix encoding, redefines the storage method.** Raw data is no longer arranged linearly but organized into a matrix form. After bidirectional encoding of rows and columns, primary and secondary slices are generated. Each node only needs to store one pair of slices, which not only ensures security but also reduces storage costs by 40% compared to traditional schemes.

**The second layer is a self-healing mechanism that makes the network more resilient.** Node outages or failures? Secondary slices can be repaired with only 1/3 of the nodes collaborating, while primary slices require responses from 2/3 of the nodes. Even with frequent node changes in the network, data availability remains stable at 99.99%, thoroughly solving the common issues of slow recovery and high bandwidth consumption in traditional storage.

**The third layer uses vector commitments to ensure data integrity.** By forming cryptographic "fingerprints" through slice commitments and blob commitments, data verification doesn’t require downloading the entire dataset, effectively preventing malicious nodes from tampering with data from the source.

The native token WAL is the economic engine that implements this technology—staking to incentivize nodes, charging for storage, forming a closed loop.