High performance computing (HPC) is dramatically different than enterprise compute. Enterprise compute involves small file sizes and enterprise application support. HPC runs batch jobs with large data sets against large distributed compute clusters, possibly involving thousands of nodes. HPC compute typically requires a parallel distributed file system to provide high speed concurrent access to data. Without it, expensive CPUs starve for data and processing is delayed.
| | Enterprise storage | HPC storage |
|---|---|---|
Typical workload | Transactional | Job (Data Set) |
Performance requirement | IOPS | Bandwidth |
Typical file size | Small | Large |
Typical file access | Random | Sequential |
Data movement | Minimal | Extensive |
Storage supports compute by storing the data needed for applications and users, and by managing the data workflows. Craft HPC storage solutions that meet IO requirements, minimise TCO and streamline data workflows by leveraging HPE expertise.
Leverage a high-performance storage solution optimised for flash technology and designed to provide the storage throughput needed for large data sets and next-generation workloads. WekaIO Matrix provides a high-performance, scalable parallel file system offering high IOPS and low-latency throughput ideal for HPC and AI workloads.
Optimise storage resources by enabling a hierarchical, tiered storage management architecture. The HPE Data Management Framework optimises storage resource utilisation for lower TCO and streamlines data workflows with time proven automated data movement.
Modernise data infrastructure cost efficiencies with HPE Pointnext and deliver better business outcomes.
Operationalise data architectures for effective and adaptive analytics leveraging experts from HPE Pointnext.
We’re always happy to let you know more about our HPC storage products.
Download the Hyperion research report and learn about the growing importance of HPC storage and how HPE is meeting the requirements that are unique to the HPC sector.
HPE data management framework, leveraging a tiered data model for HPC
Learn about trends in chip technology and architectures, coupled with the flash-based solid-state disk (SSD) devices that use them particularly in high performance storage systems.