This resource is no longer available

The rapid growth of artificial intelligence (AI) is transforming data centers, with AI workloads projected to represent 15-20% of total data center energy consumption by 2028. This white paper examines key attributes and trends of AI workloads, including the distinction between training and inference loads, and their impact on data center infrastructure like power, cooling, racks, and software management.

The paper also provides guidance on addressing challenges such as higher-voltage power distribution, custom rack PDUs, liquid cooling, and specialized rack designs to support AI clusters' power densities.

Read on now to find out how you can optimize your data center for AI.