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Micron MTA18ASF1G72PDZ-2G1A 8GB DDR4-2133MHz RDIMM 2Rx8 CL15 Memory
- Capacity: 8GB
- Memory Type: DDR4 SDRAM
- Form Factor: RDIMM (Registered DIMM)
- Speed: 2133MHz (PC4-17000)
- CAS Latency: CL15
- Rank: 2Rx8 (Dual Rank x8)
- ECC: Yes (Error-Correcting Code)
- Voltage: 1.2V
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Product Overview
The Micron MTA18ASF1G72PDZ-2G1A is an 8GB DDR4 RDIMM memory module. It operates at 2133MHz with a CL15 latency and features a 2Rx8 rank configuration, suitable for standard server and workstation memory upgrades.
Technical Information
| Capacity | 8GB |
| Memory Type | DDR4 SDRAM |
| Form Factor | RDIMM |
| Speed | 2133MHz |
Additional Specifications
| CAS Latency | CL15 |
| Rank | 2Rx8 |
| ECC | Yes |
| Part Number | MTA18ASF1G72PDZ-2G1A |
Product Description
The Micron MTA18ASF1G72PDZ-2G1A is an 8GB DDR4 Registered DIMM (RDIMM) memory module, designed to provide reliable and efficient performance for server and workstation systems. Operating at a frequency of 2133MHz, this module offers a solid foundation for everyday computing tasks and moderate workloads. The RDIMM design incorporates an onboard register that helps to reduce the electrical load on the memory controller, enabling systems to support larger memory capacities and maintain stability. This memory module features a CAS Latency (CL) of 15, which, in conjunction with its 2133MHz speed, delivers a responsive computing experience. The 2Rx8 rank configuration indicates that the module is dual-ranked, with each rank consisting of eight data bits. This configuration can enhance performance by allowing the memory controller to access data from different ranks in an interleaved fashion, improving overall throughput. Equipped with Error-Correcting Code (ECC) functionality, the MTA18ASF1G72PDZ-2G1A is capable of detecting and correcting single-bit memory errors. This feature is crucial for maintaining data integrity and system stability, making it an essential component for servers and workstations where uptime and accuracy are paramount. Operating at a standard 1.2V, it aligns with the power efficiency goals of modern computing platforms.
