SK Hynix 32GB 2Rx4 PC4-21300V-R (DDR4-2666) Registered CAS-19 Memory Kit
Ref: HMA84GR7AFR4N-VK
Certified 32GB DDR4-2666 RDIMM ECC memory. A balanced solution for expanding infrastructure without upgrading hardware.
| Tipo: REF |
The SK Hynix HMA84GR7AFR4N-VK is a 32GB DDR4 2666 MT/s server memory module, of the Registered RDIMM type with ECC, designed for professional environments that require high capacity, stability, and efficiency in data processing. This DDR4 ECC server RAM is a suitable solution for memory upgrades in demanding enterprise infrastructures.
32GB DDR4 ECC Registered Memory for Servers
This module operates at 2666 MT/s under the PC4-21300 standard, with a 2Rx4 configuration. It is a memory module designed to provide reliability in servers, virtualization environments, databases, and mission-critical applications that require continuous operation.
- Capacity: 32GB
- Manufacturer: SK Hynix
- Part Number: HMA84GR7AFR4N-VK
- Type: DDR4 Registered RDIMM
- Speed: 2666 MT/s
- Part Number: PC4-21300
- ECC: Yes
- Organization: 2Rx4
Compatibility of the SK Hynix HMA84GR7AFR4N-VK Memory Module
The SK Hynix 32GB DDR4 2666 RDIMM ECC is designed for professional servers compatible with DDR4 Registered ECC memory. It can be used in systems from manufacturers such as HPE, Dell EMC, Lenovo, IBM, Cisco, Fujitsu, or Supermicro, provided the platform supports 32GB RDIMM ECC modules running at 2666 MT/s.
Before installing it, we recommend verifying exact compatibility with the server, as the actual speed and supported capacity may depend on the processor, motherboard, and overall memory configuration. This memory should not be mixed with UDIMM or LRDIMM modules in incompatible configurations.
Refurbished memory for expansion, replacement, and maintenance
When refurbished, this server memory is a practical solution for companies looking to expand their infrastructure without having to replace hardware, thereby optimizing costs and maintaining operational continuity. It is ideal for high-demand environments, virtualization, and managing large workloads.