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Huawei Tecal XH621 V2

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The XH621 V2 node server (XH621 V2) is a new-generation, full-width, 2-socket node server for the X6000 that delivers high performance, a large memory, and simple O&M.

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Compatible with

  • XenServer 6.0

Compatibility

  • Citrix Hypervisor (XenServer)

Product Details

The XH621 V2 node server (XH621 V2) is a new-generation, full-width, 2-socket node server for the X6000 that delivers high performance, a large memory, and simple O&M. The XH621 V2 uses Intel Xeon E5-2600 series CPUs, supports eight 2.5-inch high-speed hard disks, and provides 24 DDR3 DIMM slots. It is suitable for the Internet, cloud computing, and virtualization.

The XH621 V2 node server (XH621 V2) is a new-generation, full-width, 2-socket node server for the X6000 that delivers high performance, a large memory, and simple O&M.

Features

Reliable local data ensures secure services

  • Provides highly-reliable data storage with eight 2.5-inch SAS disks, SATA disks, and SSDs for multiple RAID configurations; supports battery power and super capacitors for power-off protection.
  • Ensures reliable local data and service security through TPM encryption to prevent illegal access.

Provides outstanding application performance by employing Intel E5-2600 CPUs

  • Supports up to 2 Intel Xeon  E5-2600 series quad-core, 6-core, and 8-core CPUs that use the 32-nm architecture to achieve a high process and powerful performance. Enables a high service operating speed by improving the performance by 80% compared with the previous-generation server platform.
  • Uses up to 24 DDR3 DIMM slots to provide 768 GB memory capacity and to facilitate virtual machine allocation, ensuring outstanding virtualization applications.

Multiple energy-saving methods create a green solution

  • Uses optimized air ducts to improve system heat dissipation efficiency and decrease power consumption loss.
  • Decreases component power consumption by intelligently adjusting fan speeds and CPU frequency. Adopts green technologies and improves energy-efficiency by monitoring system power consumption in real time and setting suitable energy-saving policies.