HPE 16GB DDR4-2400 Registered Memory Kit

Overview

The HPE 805349-B21 is a 16GB DDR4-2400 registered memory kit designed to enhance server performance by providing reliable and efficient memory capacity. With a speed of 2400 MT/s and a single rank x4 design, it supports demanding workloads in virtualization, cloud computing, and large database environments. This memory kit is optimized for HPE servers, ensuring compatibility and stability in enterprise data centers.

Key features

• SmartMemory technology delivers high throughput while reducing power consumption for energy-efficient operation.
• Registered memory design improves signal integrity and system stability, minimizing server downtime.
• Enhanced memory error detection helps maintain data integrity and prevents system crashes.
• Carefully selected DRAM modules undergo rigorous testing to ensure consistent performance under heavy workloads.
• Optimized specifically for HPE servers to guarantee seamless integration and reliable operation.

Key specs

• Memory capacity: 16 GB
• Memory type: DDR4 Registered DIMM
• Speed: 2400 MT/s (DDR4-2400)
• CAS latency: 17-17-17
• Rank: Single Rank x4
• Compatibility: Designed for HPE servers

Performance and reliability

This memory kit is built to support critical server applications by maintaining excellent signal integrity and reducing the risk of errors. Its registered design helps stabilize data transfer, which is essential for environments that demand continuous uptime and consistent performance. The enhanced error detection further safeguards your system against memory faults, making it a dependable choice for enterprise workloads.

Ideal uses and environments

The HPE 805349-B21 memory kit fits well in data centers and IT environments that require robust memory solutions for virtualization, cloud services, and large-scale database management. It is a strong choice for businesses looking to upgrade their existing HPE servers or build new systems that need balanced speed, capacity, and reliability to handle growing workloads efficiently.