Why Liquid Cooling is the Weak Link in AI Infrastructure
AI infrastructure is scaling at a pace most facilities aren’t ready for. Rack densities are climbing. Power demands are spiking. […]
AI infrastructure is scaling at a pace most facilities aren’t ready for. Rack densities are climbing. Power demands are spiking. […]
Don’t Wait to Learn the Hard Way The rise of AI has compressed years of infrastructure evolution into months—and cooling
The data center industry is juggling the exploding compute demands from AI/ML and HPC workloads with a sustainability crisis. As
AI is here—and it’s not waiting around. As models get smarter, larger, and more compute-hungry—thanks in part to trends like
Insights from Jim Connaughton’s Congressional Testimony Let’s talk about brownfields—because if we don’t, we’re leaving billions of dollars in economic
TL;DR – In 2025, stricter global rules on efficiency and sustainability are reshaping data centers. Liquid cooling helps operators stay
TL;DR: AI queries like ChatGPT use nearly 10× more electricity than a Google search, putting massive strain on data centers
In a world driven by artificial intelligence and high-performance computing, data centers are evolving rapidly to meet the unprecedented demands
TL;DR:Water-cooled data centers use less energy and often less water than air cooling, reducing costs, emissions, and environmental impact while
Sustainability goes way beyond a buzzword in the data center industry. In fact, and to no one’s surprise, it’s one