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Hynix HMABAGL7M4R4N-UL 128GB DDR4-2400MHz LRDIMM 8Rx4 CL17 Memory
- Capacity: 128GB
- Type: DDR4 SDRAM
- Form Factor: LRDIMM (Load-Reduced DIMM)
- Speed: PC4-19200 (DDR4-2400MHz)
- Rank: 8Rx4 (Octal Rank x4)
- Latency: CL17
- Voltage: 1.2V
- ECC: Yes (Error-Correcting Code)
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Product Overview
This Hynix 128GB DDR4 LRDIMM memory module operates at 2400MHz with a CL17 latency. It is designed for servers requiring maximum memory capacity and performance for large-scale virtualization and data-intensive applications.
Technical Information
| Memory Size | 128GB |
| Memory Type | DDR4 SDRAM |
| Memory Speed | 2400MHz |
| Form Factor | LRDIMM |
Additional Specifications
| CAS Latency | CL17 |
| Voltage | 1.2V |
| Rank | 8Rx4 |
| ECC | Load-Reduced |
Product Description
The Hynix HMABAGL7M4R4N-UL is an extremely high-capacity 128GB DDR4 Load-Reduced DIMM (LRDIMM) module, specifically engineered for servers that require maximum memory footprint. Operating at a speed of 2400MHz (PC4-19200), this module is designed to support massive workloads, such as large-scale virtualization, in-memory databases, and high-performance computing environments where memory capacity is a primary constraint. This LRDIMM features an octal-rank (8Rx4) configuration, which is a highly dense arrangement of memory chips. LRDIMMs incorporate an additional buffer chip (a memory buffer) on the module that isolates the memory controller from the memory chips. This load-reducing technology significantly decreases the electrical load on the memory controller, allowing for much higher memory capacities per channel and per server compared to standard RDIMMs. The module operates with a CAS Latency (CL) of 17 at 2400MHz, providing a balance between capacity and speed. The standard 1.2V operating voltage for DDR4 contributes to power efficiency. As an LRDIMM, it inherently supports ECC (Error-Correcting Code) functionality, ensuring data integrity and system reliability, which is paramount for mission-critical server operations. This module is ideal for dense server configurations aiming to maximize RAM for demanding enterprise applications.
