The proliferation of Deep Learning (DL), Machine Learning (ML), and Generative Artificial Intelligence (AI) is fast becoming a driver of data center growth, innovation, and optimization. The infrastructure and engineering teams required to house and run these workloads require data center providers to accommodate surges in density and processing capacity utilization, as well as a reimagined cluster network infrastructure, among other things. Managing these surges has caused data centers and customers to take a closer look at cooling technologies that can “handle the heat” without breaking the bank or their sustainability commitments. These include air, liquid, immersion – or a hybrid thereof, while environments continue to scale.