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 Data Center Cooling Challenge for AI Infrastructure AI workloads are pushing data centers beyond traditional limits. With racks consuming
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
Data Center Compliance in 2025: How Smart Operators Are Staying Ahead
TL;DR – In 2025, stricter global rules on efficiency and sustainability are reshaping data centers. Liquid cooling helps operators stay
How Liquid Cooling Prevents “I asked ChatGPT…” from Damaging the Environment
TL;DR – AI queries like ChatGPT use nearly 10× more electricity than a Google search, putting massive strain on data
Cool for a Cause — Looking at Liquid In the Data Center on a Micro and Macro Scale
Sustainability goes way beyond a buzzword in the data center industry. In fact, and to no one’s surprise, it’s one
The Future of AI Looks Pretty Cool – Cerebras Finds a Home for the World’s Fastest AI Accelerator Chip Set in Nautilus’ Stockton Data Center
Cerebras Systems, pioneers in accelerating generative AI, recently doubled down on its existing world record of the fastest AI chip