What AI Companies Should Be Negotiating With Their Colo Provider Right Now
There is a version of this conversation that goes well. An AI company, mid-growth, comes to a colo negotiation having […]
There is a version of this conversation that goes well. An AI company, mid-growth, comes to a colo negotiation having […]
For the past few years, AI infrastructure has been defined by a single, powerful image: massive training clusters rising in
TL;DR: After running a fully liquid-cooled AI data center for years, Nautilus turned real-world experience into a product. EcoCore is
The Problem: AI Outpacing Legacy Cooling The data center industry is at an inflection point. AI and HPC workloads are
The conversations at Yotta 2025 revealed a clear shift: the data center industry is no longer debating if liquid cooling
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
AI infrastructure is scaling at a pace most facilities aren’t ready for. Rack densities are climbing. Power demands are spiking.
TL;DR:Water-cooled data centers use less energy and often less water than air cooling, reducing costs, emissions, and environmental impact while
Speakers: Full Transcript: Alex Dickins, DatacenterDynamics: Welcome back to the main stage for this major panel at Will Regulation Lead