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Micron MTA72ASS4G72LZ-2G3A2PG 32GB DDR4-2400MHz LRDIMM 4Rx4 Memory
- 32GB DDR4 SDRAM capacity
- Load-Reduced DIMM (LRDIMM) type
- 4Rx4 memory organization
- 2400MHz clock speed
- CL23 CAS Latency
- ECC (Error-Correcting Code) support
- Designed for high-density servers
- Enhanced signal integrity for large memory configurations
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Product Overview
The Micron MTA72ASS4G72LZ-2G3A2PG is a 32GB DDR4 LRDIMM memory module, operating at 2400MHz with a CL23 latency and a 4Rx4 memory organization. It is designed for high-capacity and high-performance server applications.
Technical Information
| Memory Type | DDR4 SDRAM |
| Capacity | 32GB |
| Form Factor | LRDIMM |
| Speed | 2400MHz |
Additional Specifications
| CAS Latency | CL23 |
| Rank | 4Rx4 |
| Voltage | 1.2V |
| ECC | Yes |
Product Description
The Micron MTA72ASS4G72LZ-2G3A2PG is a 32GB DDR4 Load-Reduced DIMM (LRDIMM), engineered for servers that require maximum memory capacity and performance. LRDIMMs are specifically designed to overcome the electrical loading limitations of traditional RDIMMs, allowing for significantly higher memory densities and configurations. This makes them ideal for memory-intensive applications such as large-scale virtualization, in-memory databases, and high-performance computing (HPC) environments. The 4Rx4 memory organization indicates that the module consists of four ranks, each with four memory chips per bank. This configuration, combined with the LRDIMM architecture, provides excellent signal integrity and allows the memory controller to manage a larger number of modules efficiently. The 2400MHz operating speed, while lower than some newer DDR4 modules, still offers substantial bandwidth for demanding server workloads, and the CL23 CAS latency provides a reasonable response time. As an ECC (Error-Correcting Code) memory module, it ensures data integrity by detecting and correcting single-bit errors, which is critical for the stability and reliability of servers running mission-critical applications. The LRDIMM form factor is crucial for achieving very high memory capacities in modern server platforms, enabling businesses to scale their operations and handle larger datasets effectively.
