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Evolving data center cooling for AI workloads

Evolving data center cooling for AI workloads



In today’s rapidly transforming technological landscape, artificial intelligence (AI) is driving a surge in demand for high performance computing solutions. However, AI applications, leveraging machine learning (ML) and deep learning algorithms, require immense computational power to process vast datasets and execute complex tasks – computational intensity which can result in substantial heat generation within the data center. 

Traditional air-cooled systems often struggle to dissipate the heat density associated with AI workloads, and innovative liquid cooling technologies are becoming indispensable. Liquid cooling involves submerging hardware components in a dielectric fluid or delivering coolant directly to heat-generating parts, effectively managing heat and enhancing performance and reliability for AI tools and similar environments.

David Watkins

Solutions Director at VIRTUS Data Centres.

What Types of Liquid Cooling are Available?



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