HPE 815100-S21 32GB RAM 2666mhz Pc4-21300 Cl19 Ecc Registered DDR4 SDRAM 288-pin | New Bulk Pack

In the realm of server memory modules, the HPE 815100-S21 32GB (1X32GB) emerges as a noteworthy contender, boasting impressive specifications tailored for server applications. This DDR4 SDRAM module is specifically designed to meet the demanding requirements of servers, ensuring optimal performance, reliability, and efficiency. In this comprehensive guide, we will delve into the intricacies of the HPE 815100-S21 memory module, exploring its key features, technical specifications, and the significance of each component.

Understanding the Basics of HPE 815100-S21Form Factor and Capacity

The HPE 815100-S21 features a 288-pin Registered Dual In-Line Memory Module (RDIMM) design, aligning with industry standards for server memory. With a substantial capacity of 32GB, this module stands out as a high-capacity solution, suitable for memory-intensive server tasks.

Memory Type: DDR4 SDRAM

The memory landscape has evolved over the years, and DDR4 SDRAM has become the standard for modern server systems. This module adheres to DDR4 technology, offering improved data transfer rates, lower power consumption, and enhanced overall performance compared to its predecessors.

ECC (Error-Correcting Code) Functionality

One of the critical features of the HPE 815100-S21 is its support for Error-Correcting Code (ECC). ECC plays a crucial role in detecting and correcting memory errors, and ensuring the integrity of data stored in memory. In a server environment, where data accuracy is paramount, ECC capability is a vital safeguard against potential errors.

Technical Specifications Speed: 2666MHz

The speed of a memory module is a key determinant of its performance. The HPE 815100-S21 operates at a speed of 2666MHz, signifying the number of data transfers per second. This speed is particularly beneficial for server applications that demand quick and efficient access to large datasets.

CAS Latency (CL) of 19

CAS latency is a measure of the delay between the moment a memory controller requests data and when it is available. The HPE 815100-S21 has a CAS latency of 19, indicating that it can quickly respond to memory requests, contributing to improved overall system responsiveness.

Dual Rank X4 Configuration

The dual-rank configuration is another notable aspect of this memory module. Dual rank modules have multiple memory banks, allowing for parallel processing of data. In the X4 configuration, each rank is organized into four banks, further optimizing data access and retrieval.

Voltage: 1.2V

Efficient power consumption is a critical consideration in server environments. The HPE 815100-S21 operates at a voltage of 1.2V, striking a balance between performance and energy efficiency. Lower voltage levels contribute to reduced power consumption and heat generation, which is essential for maintaining a stable server environment.

Importance of ECC in Server Memory

In a server environment, data accuracy is paramount. Memory errors, though infrequent, can have severe consequences, leading to system crashes or data corruption. The ECC functionality embedded in the HPE 815100-S21 acts as a safeguard against such errors.

Detecting and correcting Errors

ECC works by adding a layer of checking to each piece of data stored in memory. When a memory read or write operation occurs, the ECC module checks for errors. If a single-bit error is detected, it is corrected on the fly. In the case of multi-bit errors, the system is alerted, allowing for timely intervention and preventing potential data corruption.

Crucial for Mission-Critical Applications

Servers often handle mission-critical applications and large datasets. In such scenarios, the impact of a memory error can be severe. ECC-equipped memory modules, like the HPE 815100-S21, provide a level of reliability that is essential for maintaining the integrity of stored data and ensuring uninterrupted server operation.

Advantages of 32GB Capacity Handling Large Datasets

The 32GB capacity of the HPE 815100-S21 is particularly advantageous for server applications that involve handling large datasets. Tasks such as database management, virtualization, and scientific computations benefit from the ample memory space, allowing for smoother and more efficient operations.

Scalability for Future Expansion

As server workloads evolve, the demand for memory also increases. The 32GB capacity of this module provides scalability, allowing server administrators to accommodate future growth without the need for immediate memory upgrades.

DDR4 Technology: A Leap Forward Improved Data Transfer Rates

Compared to its predecessor, DDR3, DDR4 technology offers improved data transfer rates. The HPE 815100-S21, operating at 2666MHz, ensures that data can be transferred at a higher speed, reducing latency and enhancing overall system performance.

Lower Power Consumption

Efficiency is a key consideration in modern server environments. DDR4 memory modules, including the HPE 815100-S21, are designed with lower operating voltages, resulting in reduced power consumption. This is crucial for maintaining energy efficiency in data centers and server farms.

Application Scenarios

Data-Centric Applications

The HPE 815100-S21 is well-suited for data-centric applications where large datasets need to be processed efficiently. This includes database servers, big data analytics, and other applications that rely on rapid access to substantial amounts of information.

Virtualization Environments

Virtualization is a common practice in modern server setups, allowing for the efficient utilization of hardware resources. The 32GB capacity and ECC support of the HPE 815100-S21 make it an ideal choice for virtualization environments, where stability and reliability are paramount.

Scientific and Research Computing

In scientific and research computing, where complex simulations and computations are commonplace, the HPE 815100-S21’s high capacity and ECC functionality play a crucial role. The module ensures the accuracy of results by preventing errors in data processing.