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The adoption of hyperconverged infrastructure and deployment of computing intensive workloads such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data applications have contributed to the growth of global data center markets. The nature of these loads in modern data center changes is now classified as “dynamic.”
Because of these ever-changing environments, the leading heating, ventilation and air-conditioning (HVAC) vendors have started offering certified Energy Star systems with built-in redundant cooling capacity to gain traction in the market. Operational metrics such as power usage effectiveness (PUE), water usage effectiveness (WUE), and carbon usage effectiveness (CUE) are becoming increasingly important when designing mission-critical data center facilities.
Ranging from small- to mega-sized infrastructures, a comprehensive energy efficiency roadmap must support each data center design. To maintain better operational metrics in a proposed energy-efficiency roadmap, optimum design of the cooling solution and component selection must be top considerations.
This application note provides guidance on thermal management in relationship to variable load profiles in modern data centers. It also describes multiple techniques using variable cooling technologies that enable key operational metrics to be achieved.
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