Retrofitting for AI: What You Can (and Can’t) Get Away With
TL;DR Retrofitting existing data centers for AI can be faster and more cost-effective than building from scratch, but it’s not without […]
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What Does AI-Ready Actually Mean?
TL;DR “AI-ready” means different things depending on who you are: a hyperscaler, a colo provider, or an enterprise. But no matter
What Makes our Leak Prevention System the Most Reliable in the Market?
As AI workloads escalate and data halls densify, what used to be “good enough” for liquid cooling, no longer holds.
Flexible Cooling at Scale: How Modular CDUs Unlock Retrofit and Greenfield Performance at Facility Scale
The Cooling Challenge for AI Infrastructure AI workloads are pushing data centers beyond traditional limits. With racks consuming 50kW to
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.
Lessons from 400,000 Unit Hours of Data Center Liquid Cooling
Don’t Wait to Learn the Hard Way The rise of AI has compressed years of infrastructure evolution into months—and cooling
CDUs: Unsung Heroes of Sustainable Data Center Operations
The data center industry is juggling the exploding compute demands from AI/ML and HPC workloads with a sustainability crisis. As
Data Center Infrastructure Isn’t the Problem. It’s the Opportunity.
AI is here—and it’s not waiting around. As models get smarter, larger, and more compute-hungry—thanks in part to trends like
Brownfields: The Next Frontier for Data Centers and Industrial Innovation
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
Data Center Compliance in 2025: How Smart Operators Are Staying Ahead
Embracing the Future of Cooling Regulations Data centers are the backbone of the digital world, but with great power comes