Data-Driven Energy Analysis
How the world's energy systems actually work
Analysis of power grids, data center energy, and renewable infrastructure. No spin, just data.
View latest analysis
Data-Driven Energy Analysis
Analysis of power grids, data center energy, and renewable infrastructure. No spin, just data.
View latest analysis
Data center energy analysis and insights on the power demands of modern computing infrastructure. We cover electricity consumption trends, power usage effectiveness (PUE), cooling efficiency, and the growing energy footprint of cloud services, AI training, and hyperscale facilities.
What Determines Data Center Location Data center developers evaluate four primary factors when choosing a location: power availability, network connectivity, land and construction...
Why Cooling Matters Every watt of electricity consumed by a server is ultimately converted into heat. A data center with 50 megawatts of...
Defining Hyperscale A hyperscale data center is a facility designed to support massive, rapidly scalable computing workloads. While there is no single official...
What Colocation Means Colocation is a data center model in which a facility owner provides the building, power, cooling, and physical security, while...
Current Data Center Electricity Consumption Data centers in the United States consumed approximately 176 terawatt-hours of electricity in 2023, roughly 4.4% of total...
Why AI Training Consumes So Much Power Training a large language model is one of the most energy-intensive computing tasks ever attempted. A...
What Is PUE? Power usage effectiveness, or PUE, is the standard metric for measuring how efficiently a data center uses energy. It is...
A new report reveals the geographic winners and losers as AI infrastructure seeks power-friendly regions. The relationship between data centers and the electrical...
