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Micron MTA18ASF2G72AZ-2G3B1ZG 16GB DDR4-2400MHz UDIMM 2Rx8 CL17 Memory
- Capacity: 16GB
- Type: DDR4 SDRAM
- Form Factor: UDIMM (Unbuffered DIMM)
- Speed: 2400MHz (PC4-19200)
- Latency: CL17
- Configuration: 2Rx8 (Dual Rank x8)
- Voltage: 1.2V
- ECC: Non-ECC (for UDIMM)
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Product Overview
The Micron MTA18ASF2G72AZ-2G3B1ZG is a 16GB DDR4 UDIMM memory module designed for servers and high-performance workstations. It operates at 2400MHz with a CL17 latency, providing fast and efficient data processing capabilities.
Technical Information
| Capacity | 16GB |
| Memory Type | DDR4 SDRAM |
| Form Factor | UDIMM |
| Speed | 2400MHz |
Additional Specifications
| CAS Latency | CL17 |
| Rank | 2Rx8 |
| Voltage | 1.2V |
Product Description
The Micron MTA18ASF2G72AZ-2G3B1ZG is a high-performance 16GB DDR4 Unbuffered DIMM (UDIMM) memory module. Engineered for reliability and speed, this module operates at a frequency of 2400MHz, commonly referred to as PC4-19200, and features a CAS Latency (CL) of 17. This specification ensures efficient data transfer and processing, making it suitable for a wide range of server and workstation applications that demand substantial memory bandwidth. This UDIMM is configured as Dual Rank x8 (2Rx8), which means it utilizes memory chips organized in two ranks, each with eight data lines. This configuration can enhance performance in certain scenarios by allowing the memory controller to access data from different ranks concurrently. The module operates at a standard voltage of 1.2V, consistent with DDR4 technology, contributing to power efficiency in systems with multiple memory modules. Designed for compatibility with systems that support DDR4 UDIMMs, this Micron memory module is ideal for upgrading existing server memory or populating new systems. It is particularly well-suited for applications such as virtualization, database management, content creation, and general server workloads where increased memory capacity and speed are beneficial. While UDIMMs are typically used in non-ECC environments or specific server configurations, their performance and capacity make them a valuable component for many computing platforms.
