AI workloads are redefining data center design, pushing power densities beyond what air alone can handle. While air cooling will continue to serve vital roles across existing infrastructure, liquid cooling is becoming essential to sustain the performance and efficiency demanded by AI-class systems.
The most future-ready operators aren’t replacing one with the other; they’re strategically integrating both – guided by partners who understand the entire thermal chain from silicon to chiller.
The current discussion on air cooling vs. liquid cooling revolves around the need to dissipate heat generated by artificial intelligence (AI) infrastructure. AI requires new, denser hardware – high-density chips and GPUs – that generate far more heat than legacy workloads.
As a result, air cooling is reaching its thermal limits. Air cooling systems cannot push enough air to dissipate all the heat generated by GPUs. You would have to place high-density AI racks in a wind tunnel for air cooling to handle that much heat.
Compounding the challenge, air-based cooling already accounts for up to 40 percent of a typical data center’s total electricity use, according to a recent Deloitte insight report. It’s one of the reasons liquid cooling is gaining favor, as it provides better thermal transfer and reduces energy consumption.
