Lustre is an open-source, parallel distributed file system used for large-scale cluster computing. It provides high-performance file storage across networked servers.
Lustre is an open-source, parallel file system designed for high-performance computing environments that require extremely fast I/O across large storage volumes. It delivers parallel access to files across clustered storage for supercomputing, machine learning, and other big data applications that need to process vast datasets efficiently.
A key advantage of Lustre is its ability to scale to tens of thousands of client nodes, petabytes of storage capacity, and millions of IOPS. This makes it well-suited for managing the storage requirements of the world's fastest supercomputers. Lustre is designed to enable parallel computing by allowing multiple client processes to read and write to a shared file system simultaneously at near-disk speeds.
Lustre utilizes a distributed metadata architecture that separates file metadata from file content. This allows it to provide excellent scalability, redundancy, and speed. Setting up a Lustre file system involves deploying three types of system components - object storage servers for file data, metadata servers for filenames and directories, and clients that access the files. The modular design makes Lustre flexible and hardware-agnostic.
Major users of Lustre include scientific research organizations, meteorology, oil and gas, life sciences, rich media, and finance. Many top supercomputers in the world use Lustre storage systems due to their need for ultra-fast, scalable and reliable I/O for their modeling, simulations and data analysis.
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