Navigating Liquid Cooling Architectures for Data Centers with AI Workloads

AI workloads are pushing thermal and power boundaries beyond the capabilities of traditional cooling. This new Schneider Electric white paper gives you the blueprint to navigate the complex world of liquid cooling architectures—empowering your data center to support the high-density, high-efficiency demands of AI training and inference.

Explore six validated liquid cooling architectures, understand the role of Coolant Distribution Units (CDUs), and learn how to match your infrastructure to the right cooling design—whether retrofitting with existing systems or deploying new dedicated heat rejection systems.

Side-by-side guidance on CDU types (rack- vs. floor-mounted)
Direct-to-chip vs. immersion cooling strategies
Efficient heat rejection options: facility water, air, or dedicated loops
Use cases, decision trees, and best practices for every deployment scale

Download the white paper to streamline your liquid cooling strategy and prepare your data center for the future of AI.