Efficient Data Distribution through Red Stuff Encoding
Walrus transforms how we store large files by moving away from traditional full-file replication. When a user uploads information to the network, the system employs a specialized erasure-coding algorithm known as Red Stuff.
Instead of keeping the file whole, it is partitioned into tiny fragments called slivers.
These slivers are scattered across a global network of storage nodes.
This method ensures high availability; even if several nodes lose connection or go offline, the system canreconstruct the complete original file from just a fraction of the remaining slivers.
The Hybrid Storage Model: On-Chain Metadata & Off-Chain Blobs
To maintain speed and cost-efficiency, Walrus separates the actual content from its identifying information.
Blobs (Off-Chain): Massive datasets, high-definition videos, and images are categorized as "blobs" and stored across decentralized nodes rather than directly on the blockchain.
Metadata (On-Chain): Only the essential "data about the data" (metadata) and Proofs of Availability are recorded on the Sui blockchain.
Verification: These cryptographic proofs allow any user to confirm that a file is still safe and accessible without needing to download the entire blob.
Seamless Retrieval and Practical Applications
Accessing data on Walrus is designed to be as fast as traditional web services. When a file is requested, an aggregator collects the necessary slivers from various nodes and reassembles them instantly. To further boost performance, this content can be delivered via caches or Content Delivery Networks (CDNs).
Key Use Cases for Walrus:
Web3 Infrastructure: Storing media for NFTs and supporting Decentralized Applications (DApps).
AI Development: Hosting verified datasets and AI model weights to ensure data integrity.
Blockchain Archiving: Serving as a permanent storage layer for historical blockchain snapshots and transaction records.
Decentralized Web: Hosting "WalrusSites"—static websites that exist permanently on the network without a central server.
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