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EMBRACING LIQUID COOLING AMID THE RISE OF HIGH- PERFORMANCE COMPUTING
Chee Hoe Ling , Vice President of Product Management , Vertiv Asia , on what sets data centers in the direction of getting liquid cooling solutions to work optimally for their needs .
From AI to augmented and virtual realities , our world is now firmly in the era of advanced computational demands . But what does the need to perform high computing tasks across hundreds and thousands of nodes mean for data centers ?
Optimal performance and efficiency
As data centers grapple with the growth of HPC , viable alternatives to traditional air cooling are highly sought after . For many operators , this has emerged in the shape of liquid cooling solutions .
For one , the growing adoption of HPC requires Graphics Processing Units ( GPUs ) to work harder .
Supporting AI models , for example , requires five times more power and cooling capacity from GPUs in the same space as traditional servers . Rack densities of 40 kW per rack are now at the lower end of what is required to facilitate AI deployments , with rack densities surpassing 100 kW per rack and at large scale in the near future . In other words , traditional air-cooling methods simply cannot keep up .
According to the Dell ' Oro Group , revenue for the liquid cooling market is set to be worth US $ 2 billion before 2030 .
Meanwhile a recent industry survey by Vertiv suggests that 17 % of data centers are currently utilizing liquid cooling – with an additional 61 % considering its implementation .
But besides the obvious fact that traditional air cooling is becoming less effective in heat rejection of AI servers
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