Water cooling…


A single data center can consume up to 5 million gallons of drinking water per day, enough to supply thousands of households or farms.

The increasing use and training of AI models has further exacerbated the water consumption challenges faced by data centers.

Machine learning, particularly deep learning models, requires significant computational power, which generates a lot of heat. As a result, data centers housing these machine learning servers need even more cooling to maintain optimal performance and prevent overheating. 

Graphics processing units, which are commonly used to accelerate machine learning workloads, are known for their high energy consumption and heat generation.

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