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.
| | Enterprise storage | HPC storage | AI storage |
|---|---|---|---|
Typical workload | Transactional | Job (Data Set) | Job (Data set) |
Performance requirement | IOPS | Bandwidth | Bandwidth |
Typical file size | Small | Large | Mixed |
Typical file access | Random | Sequential | Mixed |
Data movement | Minimal | Extensive | Moderate |
Read/write intensity | Mixed | Write-intensive | Read-intensive |
Storage supports compute by providing the data needed for applications and users. HPE provides storage solutions that meet IO requirements, manage data, minimize TCO, and streamline data workflows.
Leverage a high-performance storage solution optimized 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.
Optimize storage resources by enabling a hierarchical, tiered storage management architecture. The HPE Data Management Framework optimizes storage resource utilization for lower TCO and streamlines data workflows with time proven automated data movement.
The Scalable Storage for Lustre solution offers a custom, modular Lustre configuration that can be tailored to your workload specifications. Opt to have Lustre preinstalled in the factory for a turnkey custom Lustre solution.
Modernize data infrastructure cost efficiencies with HPE Pointnext and deliver better business outcomes.
Operationalize data architectures for effective and adaptive analytics by 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.