Contract Structures and Logic
How AI Companies and Data Center Providers Negotiate Capacity & Revenue As AI models scale toward trillion‑parameter architectures and GPU clusters reach industrial‑grade power densities, the commercial relationship between AI infrastructure providers and leading AI companies has become one of the most strategically important contracting domains in technology. These agreements determine how compute is delivered, […]
Cleaning the Cloud: Power to the People
By Matthew X. Roling The roughly 5,500 data centers currently operating in the United States require about 176 terawatt-hours of electricity a year, which is about the same amount of power used by 16.7 million households (for comparison, California has about 13.8 million households). As cloud computing has soared, electricity prices across the US have […]
Modern Data Centers Stabilize the Grid
BESS, Grid-Interactive UPS, FLISR, and Advanced Protection Systems As hyperscale and AI-driven data centers expand into 100 to 1GW+ campuses, their relationship with the electric grid has undergone a profound transformation. Once viewed as inflexible, high-demand loads with near-zero tolerance for outages, data centers are now emerging as critical partners in grid stability and resilience. […]
2026 U.S. Data Center Moratorium Landscape
The rapid expansion of AI and hyperscale infrastructure has triggered an unprecedented wave of local pauses, restrictions, and outright bans on new data center development across the United States. As of July 2026, more than 533 moratorium instruments have been documented nationwide, spanning 42 states and representing one of the fastest‑growing regulatory trends in the […]
Race to Deliver AI: Hyperscalers, Developers, and Transitioning Bitcoin Miners
The global race to deliver AI infrastructure has become one of the most intense industrial competitions of the decade. Hyperscalers, independent developers, transitioning bitcoin miners, and startups are all sprinting toward the same finish line: massive, reliable, cost‑efficient compute. Each group brings distinct advantages, structural limitations, and different timelines for delivery. As demand for AI […]
Designing Humidification for Data Centers (AI inference & training and others)
Maintaining the right humidity in a data center is a balancing act between preventing electrostatic discharge (ESD) and avoiding condensation or corrosion on sensitive electronics. ASHRAE TC 9.9 remains the primary standards reference for data center environmental envelopes; its Thermal Guidelines and related publications define allowable and recommended temperature and humidity bands for datacom equipment […]
Converting a Bitcoin Data Center into an AI Data Center: A Green Transition
The rise of AI workloads has created demand for high‑density, energy‑efficient data center capacity, specifically to support liquid cooled equipment. Bitcoin mining facilities have emerged as strong candidates for brownfield conversion, even as they still operate massive, uniform compute loads. Their existing infrastructure, industrial zoning, and large‑scale power interconnections offer a head start. Yet converting […]
Water Filtration Solutions for Liquid Cooling
As liquid cooling becomes a defining feature of next generation data centers—particularly those supporting AI, HPC, and dense GPU clusters—the quality of the water circulating through cold plates, rear door heat exchangers, and secondary loops has emerged as a critical determinant of system reliability. Water filtration, once treated as a peripheral maintenance concern, now sits […]
Selecting Air-Cooled Chillers for Green Data Centers
Air-cooled chillers (ACCs) have emerged as the dominant mechanical cooling solution for data centers of all scales, offering meaningful advantages in water conservation, reduced infrastructure complexity, and faster deployment timelines compared to tower-based water-cooled alternatives. However, these benefits carry tradeoffs in thermodynamic efficiency — particularly at elevated ambient temperatures — that must be rigorously quantified […]
Engineering Culture in Data Centers: Patience, Precision, and the Discipline to Slow Down When Everything Speeds Up
The most resilient data center engineering cultures share a trait that is simple yet difficult to practice: the ability to stay patient, methodical, and collaborative when the pressure to accelerate is at its peak. Modern hyperscale programs operate in a paradox, as demand curves rise exponentially, supply chains remain volatile, and design inputs often arrive […]