The rapid growth of AI workloads is fundamentally reshaping data center cooling strategies. As rack densities increase and high performance compute environments become more common, operators are reassessing traditional cooling approaches to support greater thermal loads, operational efficiency, and long term scalability.
While liquid cooling has emerged as a critical enabler of next generation infrastructure, organizations continue to face important decisions around technology selection, deployment timelines, standardization, integration complexity, and cost. At the same time, evolving workload requirements are driving greater interest in direct liquid cooling solutions, new service delivery models, and scalable cooling architectures capable of supporting future AI demand.
In this Jetcool survey report, we explore how the data center industry is approaching the transition to liquid cooling, examining adoption trends, deployment strategies, key barriers, vendor selection priorities, and the standards shaping the future of AI ready infrastructure.
