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Hynix HMABAGL7A2R4N-XS 128GB DDR4-3200MHz LRDIMM 4Rx4 CL22 Memory
- Capacity: 128GB
- Type: DDR4 LRDIMM (Load-Reduced DIMM)
- Speed: 3200MHz
- Latency: CL22
- Rank: 4Rx4 (Quad Rank x4)
- Voltage: Typically 1.2V (standard for DDR4)
- ECC: Yes (Error-Correcting Code)
- Registered: Yes (Buffered)
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Product Overview
The Hynix HMABAGL7A2R4N-XS is a high-performance 128GB DDR4 LRDIMM memory module designed for server and workstation environments. It operates at a speed of 3200MHz with a CL22 latency, offering significant bandwidth for demanding applications. This module features a 4Rx4 rank configuration, indicating a high density and capacity suitable for memory-intensive tasks.
Technical Information
| Capacity | 128GB |
| Memory Type | DDR4 SDRAM |
| Form Factor | LRDIMM |
| Speed | 3200 MHz |
| CAS Latency | CL22 |
Additional Specifications
| Rank Configuration | 4Rx4 |
| ECC | Yes |
| Buffered/Registered | Yes (LRDIMM) |
| Voltage | 1.2V |
Product Description
The Hynix HMABAGL7A2R4N-XS is engineered for enterprise-grade computing, providing substantial memory capacity and high bandwidth crucial for servers, data analytics, and virtualized environments. Its LRDIMM (Load-Reduced DIMM) architecture reduces electrical load on the memory controller, allowing for higher densities and more memory modules per channel compared to standard RDIMMs. This module's 4Rx4 configuration signifies a quad-rank design with x4 data width per rank. This arrangement maximizes the number of memory banks accessible simultaneously, contributing to its high performance and capacity. The DDR4 standard ensures efficient power consumption and improved signal integrity over previous generations, while the 3200MHz speed offers a significant data transfer rate. With Error-Correcting Code (ECC) capabilities, the HMABAGL7A2R4N-XS detects and corrects single-bit errors, enhancing system stability and data integrity, which is paramount in mission-critical applications. The CL22 CAS latency, while not the lowest, is balanced with the high operating frequency, providing a robust solution for memory-intensive workloads.
