HPE Alletra 6000 vs NetApp ASA A400
Side-by-side specifications from the vendors' own documents. The HPE Alletra 6000 is an all-NVMe enterprise storage array derived from HPE's Nimble Storage DNA and CASL/NimbleOS architecture. The NetApp ASA A400 was a 4U midrange enterprise all-SAN array featuring dedicated hardware offload for inline data reduction and symmetrical active-active controller processing.
| HPE Alletra 6000 | NetApp ASA A400 | |
|---|---|---|
| Brand | HPE | NetApp |
| Status | current | end-of-sale |
| Released | May 2021 | Feb 2020 |
| Form factor | 4U rack | 4U rack |
| Cpu sockets | 2 | — |
| Cpu platform | Dual Active/Standby Controllers running Nimble OS architecture on AMD EPYC processors | — |
| Memory slots | 16 | — |
| Memory type | DDR4 ECC Registered RDIMM with NVDIMM cache protection | — |
| Memory max (GB) | 512 | — |
| Drive bays | Up to 24 NVMe SSDs in a 4U dual-controller array enclosure; optional NVMe expansion shelves | Connects to NS224 NVMe shelves and DS224C SAS shelves |
| Pcie slots | Up to 6 host interface card slots per controller pair | — |
| Gpu support | — | — |
| Network onboard | Dual 10GbE management/data ports plus optional 10GbE/25GbE iSCSI or 16Gb/32Gb Fibre Channel host cards | — |
| Raw capacity | Scales from 23TB up to over 4PB effective capacity with inline deduplication and compression | — |
| Power supply | Dual redundant 1600W hot-plug Platinum power supplies | — |
| Controller configuration | — | Symmetrical active-active dual controllers in 4U enclosure |
| Processor | — | Intel Xeon processors with crypto/compression offload engines |
| Memory | — | 256GB system memory per HA pair with NVRAM |
| Supported drives | — | NVMe TLC SSDs and 12Gb SAS SSDs (1.9TB to 15.3TB) |
| Maximum raw capacity | — | Up to 140PB in a cluster |
| Host connectivity | — | PCIe slots supporting 100GbE, 25GbE, 10GbE, and 32Gb/16Gb FC |
| Storage protocols | — | NVMe/FC, NVMe/TCP, Fibre Channel, iSCSI |
| Clustering | — | Up to 12 HA pairs |
| Management | — | NetApp ONTAP SAN-optimized |
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