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IBM 01EU226 32GB DDR4-2133MHz RDIMM 2Rx4 CL15 Memory
- 32GB memory capacity
- DDR4 SDRAM technology
- 2133MHz memory speed
- Registered DIMM (RDIMM) type
- 2Rx4 (Dual Rank x4) configuration
- CL15 latency
- Designed for IBM server systems
- Enhances system performance and multitasking capabilities
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Product Overview
The IBM 01EU226 is a 32GB DDR4-2133MHz RDIMM memory module. It features a 2Rx4 configuration and CL15 latency, designed to enhance the performance and capacity of compatible IBM servers.
Technical Information
| Capacity | 32GB |
| Type | DDR4 RDIMM |
| Speed | 2133MHz |
Additional Specifications
| Rank | 2Rx4 |
| CAS Latency | CL15 |
| Part Number | 01EU226 |
Product Description
This IBM 32GB DDR4-2133MHz RDIMM (Registered DIMM) memory module, identified by part number 01EU226, is engineered to provide a significant boost in computing power for compatible IBM server platforms. With a substantial capacity of 32GB, it allows for greater multitasking capabilities and the handling of larger, more complex datasets, which is crucial for demanding enterprise applications such as databases, virtualization, and high-performance computing. The module operates at a speed of 2133MHz, ensuring efficient data transfer between the memory and the processor. Its DDR4 technology offers improved performance and power efficiency compared to previous generations. The RDIMM design includes registers that buffer command and address signals, reducing electrical load on the memory controller and enabling higher memory capacities and speeds in server environments. The 2Rx4 configuration indicates that the memory is organized into two ranks, each with four data chips per module, optimizing performance and density. Featuring a CAS Latency (CL) of 15, this memory module strikes a balance between speed and responsiveness. It is specifically designed and tested for compatibility with IBM server systems, ensuring seamless integration and reliable operation. Upgrading to this memory module can lead to noticeable improvements in application load times, system responsiveness, and overall server throughput, making it a valuable component for optimizing IT infrastructure.
