Navigating liquid cooling architectures for data centers with AI workloads

AI servers with high heat densities need liquid cooling. This white paper reviews six liquid cooling architectures for data centers, comparing heat rejection methods and CDUs. It offers a framework to help operators choose the best option based on infrastructure, size, speed, and efficiency.

AI servers with GPUs generate significant heat, requiring liquid cooling solutions. Yet, many data center operators face challenges in implementing these systems, from understanding cooling distribution units to selecting architectures.

This white paper provides guidance for deploying liquid cooling in AI-ready data centers. Explore six heat rejection architectures and make informed decisions. Learn about:

· Key factors for selecting CDU types and capacities
· Framework for choosing between existing and dedicated heat rejection methods
· Trade-offs in speed, efficiency, and compatibility

Read the white paper to navigate liquid cooling decisions confidently.