Why Liquid Cooling?
Liquid cooling is beginning to manifest on a broad scale wherever systems with high compute loads are found, such as those that employ artificial intelligence (AI) or machine learning (ML).
The densification of compute and an increased need for power and telecom components obligates us to cool in a different, more efficient way.
The data center market has seen legacy operating temperatures rise and acceptable humidity ranges expand as information technology equipment (ITE) has changed, with some operators allowing for server inlet temperatures up to 90°F/32°C. However, air is still an inherent insulator and has a fairly low heat capacity, so when the power consumed and the TDP (thermal design power) increases exponentially, the practicality of air as a cooling medium falls off quickly.
When changing the cooling medium over to a liquid, for example, the heat capacity increases by a factor of 3,200 per unit volume, and energy can be moved around the data center much more efficiently.
In the past, data centers exclusively relied on air cooling, but there are practical limitations to how much heat air can effectively dissipate. As AI/ML has evolved, the actual silicon chips and components needed to support these new loads have advanced to the point that manufacturers of these components are no longer permitting them to be cooled by air. Rather, these components must be liquid cooled.
As this chip technology continues to evolve with loads becoming more and more dense, liquid cooling is becoming increasingly prevalent in data centers, and this shift is expected to increase well into the future. Our next challenge in the architecture, engineering and construction (AEC) community is to evolve our thinking, strategy and approach as quickly as possible to deploy these shifts in cooling topology while still driving down relative energy consumption and conserving resources.