Walrus Makes Execution Layers Lighter by Offloading Data Payloads Efficiently
Execution layers like Sui, Ethereum, or Solana are optimized for ordering transactions, managing state transitions, and enforcing rules. They were never designed to warehouse large datasets or frequently changing files. Cramming blobs into execution layers increases costs, slows performance, and burdens consensus with data that doesn’t need to be there. Walrus solves this by separating logic from payloads: Sui handles determinism and verification while Walrus stores the heavy data. Retrieval, proof, and availability are handled by storage providers incentivized through WAL.
