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Hynix HMCG84AEBQA115N 32GB DDR5-4800MHz RDIMM 2Rx4 CL40 Memory
- Type: DDR5 Registered DIMM (RDIMM)
- Capacity: 32GB
- Speed: 4800MHz
- Latency: CL40
- Configuration: 2Rx4 (Dual Rank, Quad Die per Rank)
- Manufacturer: Hynix
- Model: HMCG84AEBQA115N
- Designed for servers and high-performance workstations
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Key specifications
See full specs ↓- Memory Type
- DDR5 RDIMM
- Capacity
- 32 GB
- Speed
- 4800MHz
- CAS Latency
- CL40
- Rank
- 2Rx4
- Manufacturer
- Hynix
Product details
The Hynix HMCG84AEBQA115N is a 32GB DDR5 RDIMM memory module operating at 4800MHz with a CL40 latency. It features a 2Rx4 configuration, indicating dual rank and quad die per rank.
Technical Information
| Memory Type | DDR5 RDIMM |
| Capacity | 32 GB |
| Speed | 4800MHz |
Additional Specifications
| CAS Latency | CL40 |
| Rank | 2Rx4 |
| Manufacturer | Hynix |
Description
The Hynix HMCG84AEBQA115N is a high-capacity 32GB DDR5 Registered DIMM (RDIMM) module, engineered for demanding server and workstation environments. Operating at a rapid 4800MHz frequency, it provides substantial bandwidth for data-intensive applications. The Registered DIMM (RDIMM) architecture helps to reduce electrical load on the memory controller, allowing for higher memory capacities and improved system stability in multi-module configurations. This module features a 2Rx4 configuration, meaning it is dual-ranked with four memory dies per rank. This configuration can offer performance benefits in certain workloads by allowing the memory controller to interleave access across ranks more effectively. The CAS Latency (CL) of 40 indicates the number of clock cycles required for the memory to respond to a command, which is typical for DDR5 modules at this speed, balancing latency with throughput. As a DDR5 module, the HMCG84AEBQA115N benefits from the advancements in power efficiency, increased bandwidth, and improved signal integrity that the DDR5 standard offers over previous generations. It is designed for use in systems that support DDR5 RDIMMs, typically high-end servers, data centers, and professional workstations requiring significant memory resources for tasks such as virtualization, large-scale data analysis, and complex simulations.
Condition: Refurbished
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