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"Optimizing AI Infrastructure The Critical Role of Liquid Cooling"

GPUs driving AI workloads produce heat that challenges air cooling. Direct liquid cooling with cold plates and coolant units efficiently manages thermal loads while preserving rack density. Organizations must plan carefully to address timelines, expertise, downtime, and warranties. Download the white paper for insights.

AI advancements, especially GPU-powered workloads, are pushing data centers beyond air cooling limits. With GPUs consuming up to 1,400 watts, organizations face challenges in heat management and efficiency.

This white paper highlights direct liquid cooling as the preferred solution for AI infrastructure, addressing concerns like downtime risk, equipment damage, and skill requirements. Key insights include:

· Coolant distribution units (CDUs) and their role in heat transfer
· Evaluating infrastructure compatibility with liquid cooling
· Best practices for hybrid cooling environments

Discover how planning and the right ecosystem enable successful liquid cooling for AI workloads.

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