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Micron MT72HTZS1G72PY-667GZES 8GB DDR2-667MHz RDIMM 4Rx4 CL5 Memory
- 8GB memory capacity
- DDR2 SDRAM technology
- Registered DIMM (RDIMM) for server stability
- 667MHz clock speed
- CAS Latency (CL) of 5
- 4-rank x4 organization for increased density and performance
- Designed for high-performance computing environments
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Product Overview
Micron MT72HTZS1G72PY-667GZES is an 8GB DDR2 Registered DIMM (RDIMM) memory module operating at 667MHz. It features a CL5 latency and a 4-rank x4 organization, designed for server and workstation applications.
Technical Information
| Memory Size | 8GB |
| Memory Type | DDR2 SDRAM |
| Form Factor | RDIMM |
| Speed | 667MHz |
Additional Specifications
| CAS Latency | CL5 |
| Rank | 4-rank |
| Organization | x4 |
| Voltage | 1.8V |
Product Description
The Micron MT72HTZS1G72PY-667GZES is a high-performance 8GB DDR2 Registered DIMM (RDIMM) memory module engineered for demanding server and workstation environments. Operating at a speed of 667MHz, this module provides substantial bandwidth, crucial for applications that require rapid data processing and multitasking. The Registered DIMM architecture helps to reduce electrical load on the memory controller, enhancing system stability and allowing for higher memory capacities to be installed. This memory module features a CAS Latency (CL) of 5, indicating the number of clock cycles required to access data after a command is issued. Its 4-rank x4 organization further contributes to its performance and density, allowing for more memory chips to be utilized on a single module, which can lead to improved performance in memory-intensive tasks. The module is designed to meet the rigorous demands of enterprise-level computing, ensuring reliability and efficiency. Ideal for upgrading existing server systems or building new high-performance workstations, the MT72HTZS1G72PY-667GZES offers a significant boost in memory capacity and speed. Its specifications make it suitable for a wide range of applications, including virtualization, database management, scientific simulations, and complex data analysis, where ample and fast memory is a critical component for optimal system performance.
