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Hynix HMABAGR7C4R4N-XS 128GB DDR4-3200MHz RDIMM 4Rx4 CL22 Memory
- 128GB Memory Capacity
- DDR4 SDRAM Technology
- 3200MHz Clock Speed
- RDIMM (Registered DIMM) type
- 4Rx4 Rank Configuration
- CL22 Latency
- Designed for servers and workstations
- High bandwidth and performance
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Product Overview
The Hynix HMABAGR7C4R4N-XS is a 128GB DDR4 RDIMM memory module operating at 3200MHz. It features a 4Rx4 rank configuration and CL22 latency, designed for high-performance server and workstation applications.
Technical Information
| Product Type | Memory Module |
| Capacity | 128GB |
| Technology | DDR4 SDRAM |
| Speed | 3200MHz |
Additional Specifications
| Form Factor | RDIMM |
| Rank Configuration | 4Rx4 |
| CAS Latency | CL22 |
Product Description
The Hynix HMABAGR7C4R4N-XS is a high-capacity, high-performance memory module designed for demanding server and workstation environments. With a substantial 128GB capacity, it allows for the handling of very large datasets and complex applications, significantly boosting system performance and multitasking capabilities. The DDR4 SDRAM technology ensures efficient data transfer and power management, while the 3200MHz clock speed provides high bandwidth for rapid data processing. As a Registered DIMM (RDIMM), this module incorporates a register chip that buffers command and address signals, reducing electrical load on the memory controller. This feature is crucial for system stability and allows for higher memory capacities and more memory modules to be installed in a system. The 4Rx4 rank configuration indicates a high density arrangement of memory chips, further contributing to the module's overall capacity and performance characteristics. The CL22 CAS Latency specifies the delay between the memory controller requesting data and the data being available. While higher latency can sometimes be a trade-off for higher speeds, the combination of 3200MHz speed and CL22 latency in this Hynix module is optimized for modern server architectures. This memory is ideal for applications such as virtualization, large-scale data analytics, scientific computing, and high-end content creation where memory performance is a critical factor.


