UCS-MR-X32G2RSH Cisco 32GB PC4-21300 DDR4-2666MHz RAM

Cisco UCS-MR-X32G2RSH 32GB DDR4-2666MHz RAM Overview

The Cisco UCS-MR-X32G2RSH 32GB PC4-21300 DDR4-2666MHz Registered ECC CL19 288-Pin DIMM memory module represents a critical component within enterprise-grade server memory solutions designed to meet the evolving demands of modern data centers. This category of high-performance DDR4 registered memory is engineered specifically for compatibility with Cisco Unified Computing System environments, ensuring optimal system stability, scalability, and efficiency. As organizations continue to rely on virtualization, cloud computing, and data-intensive applications, the importance of reliable memory modules becomes increasingly essential for maintaining seamless performance and reducing downtime.

Enterprise Memory Architecture and Design

The design architecture of this 32GB DDR4 registered ECC module is tailored for high-density server environments. Built on a 288-pin DIMM form factor, the module supports advanced signaling and power efficiency improvements over previous DDR3 generations. The dual rank configuration enhances memory bandwidth and allows for improved interleaving, which contributes to better overall system performance in multi-threaded workloads. With a clock speed of 2666MHz, this memory module ensures fast data transfer rates, making it suitable for demanding enterprise applications.

Registered DIMM Technology Advantages

Registered DIMM technology plays a vital role in stabilizing memory operations in servers with multiple memory modules. By buffering control signals, registered memory reduces electrical load on the memory controller, allowing for increased scalability and higher capacity configurations. This feature is particularly beneficial in enterprise servers where multiple DIMMs are installed across various channels, ensuring signal integrity and reliable performance even under heavy workloads.

Error Correction Capabilities

Error Correcting Code functionality is a defining feature of this memory category. ECC technology detects and corrects single-bit memory errors in real time, significantly enhancing data integrity and system reliability. In environments such as financial systems, healthcare databases, and mission-critical enterprise applications, ECC memory is indispensable for preventing data corruption and ensuring consistent operation.

Optimization in Data Center Environments

Performance optimization is a primary consideration when selecting server memory, and this category of DDR4 registered modules excels in delivering high throughput and low latency. The PC4-21300 specification indicates a theoretical bandwidth of 21.3GB/s, enabling efficient handling of large datasets and complex computational tasks. This makes the module ideal for virtualization platforms, database management systems, and high-performance computing clusters.

Impact on Virtualization Workloads

Virtualization environments demand substantial memory resources to support multiple virtual machines simultaneously. The 32GB capacity per module allows administrators to maximize memory allocation across virtual machines without compromising performance. This results in improved consolidation ratios and better resource utilization, reducing the need for additional hardware investments.

Scalability and Future-Proofing

Scalability is a critical factor in enterprise IT infrastructure. This memory category supports seamless upgrades, enabling organizations to expand their memory capacity as workloads grow. The use of DDR4 technology ensures compatibility with modern server platforms while providing a clear upgrade path for future enhancements. This future-proofing capability helps businesses adapt to changing technological requirements without frequent hardware replacements.

Energy Efficiency Considerations

Operating at 1.2 volts, this DDR4 memory module offers improved energy efficiency compared to older memory standards. Lower power consumption translates to reduced heat generation and decreased cooling requirements, contributing to overall cost savings in data center operations. Energy-efficient components are essential for organizations aiming to achieve sustainability goals and reduce operational expenses.

Compatibility with Cisco UCS Infrastructure

The Cisco UCS-MR-X32G2RSH memory module is specifically designed for integration with Cisco Unified Computing System servers. This ensures seamless compatibility and optimized performance within Cisco environments. Certified memory modules provide assurance that they meet stringent quality and reliability standards, minimizing the risk of compatibility issues and system failures.

Integration with Blade and Rack Servers

This memory category is compatible with a wide range of Cisco UCS blade and rack servers, enabling flexible deployment options across different infrastructure setups. Whether used in compact blade chassis or standalone rack servers, the module delivers consistent performance and reliability. This versatility makes it suitable for diverse enterprise applications, from small-scale deployments to large-scale data centers.

Firmware and System Optimization

Cisco UCS systems leverage advanced firmware and management tools to optimize hardware performance. The integration of certified memory modules allows the system to automatically configure optimal memory settings, ensuring maximum efficiency and stability. This reduces the need for manual tuning and simplifies system administration.

Reliability in Mission-Critical Applications

Reliability is a key requirement for mission-critical workloads, and this memory category is engineered to meet the highest standards. With rigorous testing and validation processes, these modules are designed to operate continuously under demanding conditions. This ensures uninterrupted service delivery and minimizes the risk of system downtime.

Key Specifications and Features

The Cisco UCS-MR-X32G2RSH memory module incorporates a range of technical features that enhance its performance and reliability. These include DDR4 architecture, registered buffering, ECC support, and dual rank configuration. Each of these features contributes to the overall efficiency and effectiveness of the memory module in enterprise environments.

DDR4 Memory Technology Benefits

DDR4 technology represents a significant advancement over previous memory generations, offering higher data rates, increased bandwidth, and improved power efficiency. The 2666MHz speed provides faster data access and improved responsiveness, making it suitable for high-performance applications. Additionally, DDR4 memory supports advanced features such as bank group architecture, which enhances parallelism and improves overall system performance.

Latency and Timing Characteristics

The CL19 latency rating indicates the number of clock cycles required to access data. While higher frequencies often come with increased latency, the overall performance gains from faster speeds outweigh this factor. The balanced timing characteristics of this module ensure optimal performance across a wide range of workloads.

Dual Rank Configuration

The dual rank design allows the memory module to present two sets of memory banks to the system, effectively increasing data throughput. This configuration improves performance in multi-threaded applications and enhances memory utilization efficiency. It also enables better compatibility with systems that support multiple ranks per channel.

Cloud Infrastructure Deployment

Cloud service providers require scalable and reliable hardware components to deliver consistent performance to their customers. This memory category supports the demands of cloud infrastructure by providing high capacity and efficient resource utilization. It enables the deployment of virtualized environments with high density and performance.

High-Performance Computing Applications

In high-performance computing environments, memory speed and capacity are critical factors in achieving optimal performance. The 2666MHz speed and 32GB capacity of this module make it suitable for computationally intensive tasks such as scientific simulations, machine learning, and data modeling. These applications benefit from the enhanced bandwidth and reliability provided by this memory category.