In the ever-evolving landscape of information technology, server performance is crucial for the smooth functioning of various applications and services. One integral component that significantly influences server performance is the memory module. In this detailed exploration, we will delve into the HPE 868843-001 32GB 2666MHz PC4-21300 CL19 ECC Registered Dual Rank x4 1.2V DDR4 SDRAM 288-pin RDIMM memory module. We'll break down the technical specifications, understand the significance of each parameter, and explore how this memory module contributes to the efficiency of server systems.
Overview of HPE 868843-001 Memory Module DDR4 SDRAMDynamic Random Access Memory (DRAM) plays a pivotal role in the storage and retrieval of data in electronic devices. DDR4 Synchronous Dynamic Random Access Memory (SDRAM) is the fourth generation of the DDR SDRAM family and is widely used in modern computing systems. The HPE 868843-001 is a specific variant of DDR4 SDRAM designed for server applications.
Capacity: 32GB (1X32GB)The memory module boasts a substantial capacity of 32 gigabytes (GB), making it suitable for memory-intensive tasks. The "1X32GB" notation indicates that the module consists of a single 32GB unit.
Speed: 2666MHzMemory speed, measured in megahertz (MHz), determines how quickly data can be read from or written to the memory module. The HPE 868843-001 operates at a speed of 2666MHz, indicating a high data transfer rate.
CAS Latency (CL): 19CAS Latency is a critical parameter that influences the memory module's speed. A CL19 rating means that the module takes 19 clock cycles to deliver requested data after receiving the command. Lower CAS Latency values are generally associated with better performance.
ECC (Error-Correcting Code) RegisteredError correction is crucial in server environments where data integrity is paramount. ECC is a mechanism that detects and corrects memory errors, preventing potential data corruption. The "Registered" attribute indicates that the module has a register, which enhances stability and reliability.
Dual Rank x4The dual-rank configuration signifies how memory banks are organized on the module. Dual rank indicates that there are two sets of memory chips on each side of the module, enhancing memory density. The "x4" notation implies a 4-bit data width per rank.
Voltage: 1.2VEfficient power usage is essential in server environments to minimize energy consumption and heat generation. The HPE 868843-001 operates at a low voltage of 1.2V, contributing to energy efficiency and thermal management.
Form Factor: 288-pin RDIMMThe form factor and pin configuration are crucial for compatibility with specific server architectures. The 288-pin Registered Dual Inline Memory Module (RDIMM) form factor is designed for servers, ensuring a secure and standardized connection.
Significance of HPE 868843-001 in Server EnvironmentsEnhanced Server PerformanceThe high capacity (32GB) and fast speed (2666MHz) of the HPE 868843-001 contribute to enhanced server performance, allowing for quick and efficient data processing. This is particularly beneficial for applications that require large datasets to be stored and accessed rapidly.
Reliability Through ECCIn server environments, data integrity is non-negotiable. The ECC feature of the HPE 868843-001 ensures that errors, if any, are detected and corrected in real-time. This is crucial for preventing data corruption and maintaining the reliability of stored information.
Stability with Registered DesignThe "Registered" attribute in the memory module adds a register between the memory module and the memory controller. This register helps in reducing the electrical load on the memory controller, contributing to system stability, especially in configurations with multiple memory modules.
Optimal Power UsageEfficient power usage is a key consideration in data centers and server rooms. The low operating voltage of 1.2V in the HPE 868843-001 minimizes power consumption, which is essential for achieving energy efficiency and reducing overall operational costs.
Memory Density with Dual Rank Configuration
The dual-rank configuration enhances memory density, allowing for the storage of more data in a given physical space. This is advantageous in servers with limited memory slots, as it enables the accommodation of larger memory capacities without sacrificing reliability or performance.
Guidelines
Proper installation is critical for the optimal functioning of any memory module. The 288-pin RDIMM form factor of the HPE 868843-001 follows industry standards, and installation should align with the server's memory slot configuration. Referencing the server's documentation is essential for correct installation.
System Configuration Considerations
System administrators and IT professionals should consider the overall system configuration when incorporating the HPE 868843-001 memory module. This includes factors such as the existing memory modules, processor capabilities, and operating system requirements.
- Manufacturer: HPE
- Model Number or SKU# 868843-001
- Type: Memory (RAM)
- RAM Type: PC4-21300
- Product Name: 32GB DDR4 SDRAM Memory Module
- Storage Capacity: 32GB
- Memory Technology: DDR4 SDRAM
- Number Of Modules: 1 X 32GB
- Bus Speed: 2666mhz DDR4-21300/PC4-2666V
- Data Integrity Check: ECC
- Signal Processing: Registered
- Cas Latency Timings: Cl19
- Rank Features: 2rx4
- Form Factor: 288-pin Rdimm
- HPE ProLiant DL Series: DL325 Gen10 Base, DL325 Gen10 Solution, DL385 Gen10, DL385 Gen10 Base, DL385 Gen10 Entry, DL385 Gen10 High-Performance, DL385 Gen10 Performance, DL385 Gen10 SMB, DL385 Gen10 Solution
In summary, the HPE 868843-001 32GB memory module is a robust and high-performance component designed specifically for server environments. Its impressive specifications, including a large capacity, high speed, ECC support, registered design, and energy-efficient operation, make it an ideal choice for applications that demand reliability, stability, and speed in data processing. System administrators and IT professionals can leverage the benefits of this memory module to enhance server performance, ensure data integrity, and optimize overall system efficiency in diverse computing environments.
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