Yotta 2025: A Tipping Point for AI Infrastructure
The conversations at Yotta 2025 revealed a clear shift: the data center industry is no longer debating if liquid cooling […]
The conversations at Yotta 2025 revealed a clear shift: the data center industry is no longer debating if liquid cooling […]
Explore diverse cooling water options for sustainable data centers with Nautilus.
TL;DR Retrofitting existing data centers for AI can be faster and more cost-effective than building from scratch, but it’s not without
TL;DR “AI-ready” means different things depending on who you are: a hyperscaler, a colo provider, or an enterprise. But no matter
As AI workloads escalate and data halls densify, what used to be “good enough” for liquid cooling, no longer holds.
The Cooling Challenge for AI Infrastructure AI workloads are pushing data centers beyond traditional limits. With racks consuming 50kW to
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
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