$SUI News: @SuiNetwork decentralized storage infrastructure @WalrusProtocol announces Quilt
#Quilt is a batch storage solution launched on Walrus, a decentralized data storage protocol and application development platform built on the Sui blockchain.
Quilt is designed to optimize the storage and management of large numbers of small files, such as images, documents, NFTs, AI data, and logs.
Quilt enables the bundling of millions of small files into a single, optimized storage unit. This allows for seamless storage, retrieval, and management of data while maintaining individual access to each file. It’s a native API integrated into Walrus, eliminating the need for wrappers or hacks.
Cost Savings: Quilt reduces storage costs significantly, with reported savings of up to 106x for 100KB files and 420x for 10KB files compared to traditional methods. This is achieved through collective storage, where files are batched into a single unit, reducing overhead.
Efficiency: Provides quick access to every object and convenient metadata management, making it ideal for applications like NFTs, AI agents, and short-form content.
Scalability: Built on Sui’s Move-based smart contracts, Quilt supports scalable, secure, and programmable storage, enabling developers to build on-chain applications with large datasets.
Use Cases: Quilt is tailored for Web3 projects needing to store and manage large numbers of small files, such as media for NFTs, AI training datasets, or decentralized app resources. It ensures data remains accessible, secure, and verifiable on-chain, supporting use cases like verifiable AI.
Technical Details: Quilt leverages Walrus’s decentralized storage, which uses Sui for coordination and governance. Walrus employs an innovative encoding algorithm called Red Stuff, breaking data into slivers for efficient storage and retrieval, with proofs of availability stored on Sui. This ensures high resiliency and scalability, even for large data files like videos or images
Game changing technology being produced by the $SUI @Mysten_Labs team. Co-Founder @EmanAbio with the breakdown:
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