Navigating liquid cooling architectures for AI data centers
The rapid growth of AI workloads is driving increased adoption of liquid cooling systems in data centers. This white paper provides an overview of key considerations for navigating liquid cooling architectures for AI servers and clusters.
It covers the three main elements of a liquid cooling ecosystem: heat capture within the server, the coolant distribution unit (CDU), and the method of rejecting heat to the outdoors. Six common liquid cooling architectures are described, each with their own advantages, disadvantages, and use cases.
Read on now to learn how you can determine the right architecture for your organization.