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Lustre (file system)
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<p>Lustre is a type of parallel <a href="/facts/Distributed_file_system/Bz61f7Ce">distributed file system</a>, generally used for large-scale <a href="/facts/Cluster_computing/mT7S1BcX">cluster computing</a>. The name Lustre is a <a href="/facts/Portmanteau_word/d124JEbz">portmanteau word</a> derived from <a href="/facts/Linux/9FvCKSTq">Linux</a> and <a href="/facts/Computer_cluster/mT7S1BcX">cluster</a>. Lustre file system software is available under the <a href="/facts/GNU_General_Public_License/S75KhLSX">GNU General Public License</a> (version 2 only) and provides high performance file systems for computer clusters ranging in size from small <a href="/facts/Workgroup_(computer_networking)/SqL9DWtQ">workgroup</a> clusters to large-scale, multi-site systems. Since June 2005, Lustre has consistently been used by at least half of the top ten, and more than 60 of the top 100 fastest <a href="/facts/Supercomputer/HT9NwGAN">supercomputers</a> in the world, including the world's No. 1 ranked <a href="/facts/TOP500/rz8zbyss">TOP500</a> supercomputer in November 2022, <a href="/facts/Frontier_(supercomputer)/NTUlSjry">Frontier</a>, as well as previous top supercomputers such as <a href="/facts/Fugaku_(supercomputer)/jmuyc2sW">Fugaku</a>, <a href="/facts/Titan_(supercomputer)/vUYqR0yv">Titan</a> and <a href="/facts/IBM_Sequoia/ToKXt78K">Sequoia</a>. </p><p>Lustre file systems are scalable and can be part of multiple computer clusters with tens of thousands of <a href="/facts/Client_(computing)/u0wlVsWI">client</a> nodes, hundreds of <a href="/facts/Petabyte/BNHUp9Qq">petabytes</a> (PB) of storage on hundreds of servers, and tens of <a href="/facts/Terabyte/BNHUp9Qq">terabytes</a> per second (TB/s) of aggregate <a href="/facts/I%2fO/WQTE8Jas">I/O</a> <a href="/facts/Throughput/6zAUsXqw">throughput</a>. This makes Lustre file systems a popular choice for businesses with large data centers, including those in industries such as <a href="/facts/Meteorology/xblFr28q">meteorology</a>, <a href="/facts/Simulation/Q4QJV1oI">simulation</a>, <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> and <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a>, oil and gas, <a href="/facts/Life_science/9HYkCgqe">life science</a>, <a href="/facts/Rich_media/4TnPQC4K">rich media</a>, and finance. The I/O performance of Lustre has widespread impact on these applications and has attracted broad attention. </p>