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Samsung M393B2K70CM0-CF8 16GB DDR3-1066MHz RDIMM 4Rx4 CL7 Memory
- Capacity: 16GB
- Type: DDR3 SDRAM
- Form Factor: RDIMM (Registered DIMM)
- Speed: 1066MHz (PC3-8500)
- Latency: CL7
- Configuration: 4Rx4 (Quad Rank, x4 organization)
- Designed for server applications.
- Offers high memory density and reliability.
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Product Overview
The Samsung M393B2K70CM0-CF8 is a 16GB DDR3 Registered DIMM (RDIMM) memory module. It operates at 1066MHz with CL7 latency and features a 4Rx4 configuration, designed for server applications requiring high density.
Technical Information
| Capacity | 16GB |
| Memory Type | DDR3 SDRAM |
| Form Factor | RDIMM |
| Speed | 1066MHz |
Additional Specifications
| CAS Latency | CL7 |
| Rank | 4Rx4 |
| Brand | Samsung |
Product Description
The Samsung M393B2K70CM0-CF8 is a 16GB DDR3 Registered DIMM (RDIMM) memory module designed for server environments that require high memory density and reliable operation. Operating at a speed of 1066MHz, this module provides a solid foundation for memory capacity in systems handling various enterprise workloads. The PC3-8500 designation indicates its performance class, suitable for servers where stability and capacity are prioritized. This RDIMM features a CAS Latency (CL) of 7, offering a relatively low latency for its operating speed, which contributes to efficient data retrieval. The 4Rx4 configuration signifies a quad-rank module utilizing x4 DRAM devices. Quad-rank modules can significantly increase memory density within a system, allowing for larger total memory configurations. As a registered DIMM, it includes onboard registers that buffer command and address signals, reducing the electrical load on the memory controller. This is crucial for server systems that need to support a large number of memory modules and maintain system stability. Manufactured by Samsung, a reputable provider of memory solutions, the M393B2K70CM0-CF8 is built to endure the rigorous demands of continuous server operation. Its specifications make it a suitable component for upgrading existing servers or for building new systems where maximizing memory capacity is a primary objective, such as in virtualization hosts or large-scale data processing environments.


