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Micron MT18HTF12872FDY-667D5N5 1GB DDR2-667MHz FB-DIMM 2Rx8 CL5 Memory
- Capacity: 1GB
- Memory Type: DDR2 SDRAM
- Form Factor: FB-DIMM (Fully Buffered DIMM)
- Speed: 667MHz (PC2-5300F)
- CAS Latency: CL5
- Configuration: 2Rx8 (Dual Rank, x8)
- Manufacturer: Micron
- ECC: Yes (implied by FB-DIMM)
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Product Overview
The Micron MT18HTF12872FDY-667D5N5 is a 1GB DDR2 Fully Buffered DIMM (FB-DIMM) memory module. It operates at 667MHz with a CL5 latency and features a 2Rx8 configuration, indicating dual rank and 8 bits of data width per chip. This module is designed for server and workstation applications requiring high memory bandwidth and reliability.
Technical Information
| Capacity | 1GB |
| Memory Type | DDR2 SDRAM |
| Form Factor | FB-DIMM |
| Speed | 667MHz |
Additional Specifications
| CAS Latency | CL5 |
| Rank | 2 (Dual Rank) |
| Data Width per Chip | x8 |
| ECC | Yes |
Product Description
The Micron MT18HTF12872FDY-667D5N5 is a 1GB DDR2 FB-DIMM memory module, built for the rigorous demands of server and high-performance computing environments. As a Fully Buffered DIMM, it incorporates an Advanced Memory Buffer (AMB) chip, which serializes data traffic between the memory controller and the DRAM chips. This design significantly reduces electrical loading on the memory bus, enabling higher memory capacities and improved signal integrity, which are critical for stability in server operations. This module operates at a clock speed of 667MHz, commonly known as PC2-5300F, and features a CAS Latency of CL5. The 2Rx8 designation signifies a dual-rank configuration, meaning the module contains two independent sets of memory chips (ranks) that the memory controller can access. Each chip within these ranks has an 8-bit data width, contributing to efficient data transfer. FB-DIMMs were a prevalent memory standard in server platforms during the DDR2 era, offering advantages in scalability and performance over unbuffered DIMMs. The MT18HTF12872FDY-667D5N5 from Micron is a reliable component designed to deliver consistent performance for memory-intensive tasks such as virtualization, large-scale data processing, and scientific computing.
