Selecting the right row-based Coolant Distribution Unit (CDU) for your data center is essential for achieving peak performance and efficiency. To make an informed decision, it’s important to evaluate key factors related to your facility, CDU performance capabilities, CDU features including redundancy, monitoring and serviceability, and manufacturing location and practices. This article provides an outline to help you navigate these considerations and select the best CDU for your needs.
Facility Considerations
Choosing a CDU starts with a thorough understanding of your facility’s design and constraints. Consider the following:
CDU Performance
Two main performance points to consider are secondary flow rate and overall heat load capability.
Redundancy, Monitoring, and Serviceability
When a DLC system goes down, there is the potential to lose all supported systems within a matter of minutes, so it is important to consider the following features of a CDU solution:
Manufacturing and Sourcing
Consider a CDU manufacturer’s sourcing practices as well as its location:
Choose the Best CDU for Your Data Center
Selecting the appropriate CDU for your row-based data center involves careful consideration of several factors, including facility design, performance metrics, redundancy, and manufacturing practices. By understanding these key aspects, you can make an informed decision that optimizes cooling efficiency and reliability in your data center.
About CoolIT Systems:
CoolIT Systems specializes in scalable liquid cooling solutions for the world’s most demanding computing environments, partnering with global processor and server design leaders to develop the most efficient and reliable liquid cooling solutions for their leading-edge products. Click here to learn more about CoolIT’s row-based CDUs and to download product brochures.
Author:
Ian Reynolds, Senior Project Engineer
Ian Reynolds is a Senior Project Engineer with CoolIT Systems, focusing on solution design and deployment of liquid cooling solutions for high-performance computing (HPC), AI data centers and enterprise environments globally.