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The increasing demand for artificial intelligence (AI) and machine learning (ML) applications is reshaping data center investments globally. Data center managers are now tasked with redesigning cooling systems to manage the high heat loads generated by next-generation chips. This shift necessitates a focus on efficiency, scalability, and sustainability in cooling solutions.
Liquid cooling technologies are emerging as a solution to enhance power usage effectiveness (PUE) while accommodating the demands of advanced IT infrastructure. The selection of the right coolant distribution unit (CDU) is crucial, as it directly impacts the efficiency of the cooling system. By optimizing CDUs, data centers can effectively manage heat loads, reduce energy costs, and contribute to environmental sustainability.
• AI and ML are driving significant changes in data center cooling designs.
• Liquid cooling improves efficiency and sustainability in data center operations.
AI refers to the simulation of human intelligence in machines, which is driving data center investments.
ML is a subset of AI that enables systems to learn from data, influencing cooling system designs.
PUE is a metric used to determine the energy efficiency of a data center, crucial for sustainability.
nVent specializes in electrical connection and protection solutions, including liquid cooling systems for data centers.
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