What is Walrus (WAL)?

By CMC AI
26 September 2025 02:53AM (UTC+0)

TLDR

Walrus (WAL) is a decentralized storage protocol built on Sui, enabling scalable, programmable data management for applications requiring large-file storage like media, AI datasets, and NFTs.

  1. Purpose: Solves decentralized storage bottlenecks for Web3 apps needing secure, cost-efficient data handling.

  2. Technology: Uses Sui’s smart contracts for metadata and integrates erasure coding for redundancy.

  3. Tokenomics: WAL powers payments, staking, and governance with deflationary mechanics via burning.

Deep Dive

1. Purpose & Value Proposition

Walrus targets the storage of unstructured data (videos, images, PDFs) at scale, addressing gaps in traditional decentralized storage solutions. By combining on-chain metadata storage via Sui’s blockchain with off-chain blob storage, it ensures data availability while leveraging blockchain security. Use cases span AI datasets, NFT media, and decentralized apps needing tamper-proof storage.

2. Technology & Architecture

  • Red Stuff Encoding: Splits data into shards for efficient storage and recovery, enhancing redundancy.
  • Sui Integration: Metadata (proofs, ownership) is stored on Sui, enabling composability with DeFi and gaming apps.
  • Delegated Proof-of-Stake (dPoS): Nodes stake WAL to participate, ensuring network security and alignment of incentives.
  • Seal Add-On: Provides encryption and access controls, allowing programmable rules for data retrieval (e.g., token-gated content).

3. Tokenomics & Governance

  • Utility: WAL is used to pay for storage, stake for network security, and vote on protocol upgrades.
  • Deflationary Design: Burns tokens from penalties (e.g., short-term staking exits) to counter inflation.
  • Supply: Fixed 5B max supply, with 43% allocated to community reserves and 30% to core contributors.

Conclusion

Walrus reimagines decentralized storage by merging scalable infrastructure with blockchain-native programmability, positioning itself as Sui’s data backbone. Its integration with AI projects like OpenGradient and partnerships with networks like Pipe highlight real-world adoption. Can Walrus’s hybrid on/off-chain model become the default for Web3’s data-intensive future?

CMC AI can make mistakes. Not financial advice.