AMD launched AMD EPYC processors, powering the new Hewlett Packard Enterprise (HPE) Alletra 6000. HPE Alletra 6000 is a cloud-native data infrastructure storage solution that powers business-critical applications with the cloud experience.
To deliver a high-performance system
The new HPE Alletra 6000 takes advantage of the AMD EPYC 7002 series processors, which have the ability to scale from 8 to 64 high-performance cores and the increased generational bandwidth of PCIe 4 support. It offers up to 3X faster performance than previous HPE Nimble Storage All-Flash Arrays.
Omer Asad, vice president and general manager, Primary Storage, HCI & Data Management Services at HPE, said,
“AMD EPYC processors give the HPE Alletra 6000 an ultra-efficient architecture that is designed to deliver fast, consistent performance with industry-leading data efficiency. We were able to leverage the high core counts and increased bandwidth supported by PCIe 4 capabilities of AMD EPYC processors, to deliver a high-performance system, that provides great efficiency for business-critical workloads with strict SLAs for availability and performance.”
HPE Alletra 6000 represents a bold paradigm shift for data infrastructure as it enables IT to shift from owning and maintaining data infrastructure to simply accessing and utilizing it on-demand and as-a-service.
With the new HPE Alletra 6000, AMD EPYC processors are helping HPE power the next generation of storage and enable customers to get access to a new solution that:
- Provides a wide range of core counts from 8 to 64 with the EPYC 7252, EPYC 7302, EPYC 7502 or EPYC 7742,
- Doubles the amount of storage processing per socket compared to previous generations,
- Supports up to 54 SAP Hana nodes, and a maximum of 216 SAP Hana nodes using the HPE Alletra 60901 enabled by high compute and connectivity features from AMD EPYC 7002 processors,
- Creates a holistic HPE GreenLake system powered by AMD EPYC processors, that delivers on the Unified DataOps vision, with Data Services Cloud Console and cloud data services.
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