Storage

High-performance computing (HPC) and artificial intelligence (AI) workloads are dramatically different than enterprise compute workloads. Instead of small file sizes and enterprise applications, HPC and AI workloads are usually batch jobs with large data sets on large distributed compute clusters. Parallel distributed file systems are typically required to provide high-speed, concurrent access to data. Without the ability to share data, expensive CPUs starve for data, delaying processing.

Storage

High-performance computing (HPC) and artificial intelligence (AI) workloads are dramatically different than enterprise compute workloads. Instead of small file sizes and enterprise applications, HPC and AI workloads are usually batch jobs with large data sets on large distributed compute clusters. Parallel distributed file systems are typically required to provide high-speed, concurrent access to data. Without the ability to share data, expensive CPUs starve for data, delaying processing.


A dedicated storage portfolio for HPC and AI workloads that enables the full power of high-performance computing.

Cray ClusterStor E1000 Storage Systems

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Cray ClusterStor E1000 Storage Systems Datasheet

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PRODUCT PORTFOLIO

Cray ClusterStor E1000 Storage Systems

NEW HPC STORAGE FOR A NEW HPC ERA – High performance computing storage that is as well suited for the unique storage demands of AI as traditional all-flash enterprise file storage and is as scalable and cost effective as traditional parallel storage.

The Cray ClusterStor E1000 storage solution is purpose-engineered to meet the demanding input/output requirements of supercomputers and HPC clusters in a very efficient way.

The all flash configuration is suitable for lots of small, random read I/O, high sequential performance required in many AI applications including Machine Learning and Deep Learning.