Ireland has issued new conditions for large grid loads and proposed new codes for data center connections; similar measures are expected to follow in other locations.
Investment in large-scale AI has accelerated the development of electrical equipment, which creates opportunities for data center designers and operators to rethink power architectures.
Data from Uptime Intelligence's giant data center analysis indicates that proposed power capacity and investment tied to giant data centers and campuses are at unprecedented levels.
Nvidia’s DGX-Ready certification for colocation facilities has been around for nearly six years, yet what the program actually entails remains obscure.
This report analyzes facility-level PUE data from the Global Data Center Survey 2025, highlighting differences by region, facility size and age. It assesses the vulnerability of the industry to PUE minimum performance standards.
Liquid-cooled colocation capacity remains niche, but demand is likely to grow. Colocation providers planning capacity for DLC need to address novel questions about individual tenant needs, operations and SLAs.
Operators looking for low-carbon power may be assessing low-carbon hydrogen for standby or primary power. Except for niche applications, the technology is a long way from practicality.
AWS has recently cut prices on a range of GPU-backed instances. These price reductions make it harder to justify an investment in dedicated AI infrastructure.
Several operators originally established to mine cryptocurrencies are now building hyperscale data centers for AI. How did this change happen?
In 2025, three US states passed legislation to manage data center access to energy and water resources, protect residential electricity rates and mitigate electrical grid instability - which may prompt other states to follow suit.
The 15th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in the areas of resiliency, sustainability, efficiency, staffing, cloud and AI. The attached data files…
While AI infrastructure build-out may focus on performance today, over time data center operators will need to address efficiency and sustainability concerns.
Critics argue that data center water use is excessive and poorly managed. Operators should select a cooling system to fit the local climate and available water supply, explaining water use within the context of local conditions.
High-end AI systems receive the bulk of the industry's attention, but organizations looking for the best training infrastructure implementation have choices. Getting it right, however, may take a concerted effort.
Understanding the principles of human behavior and how they relate to community engagement and siting strategies can reduce potential conflict between data centers and local residents
Peter Judge
Daniel Bizo
John O'Brien
Max Smolaks
Jay Dietrich
Douglas Donnellan
Jacqueline Davis
Dr. Owen Rogers
Paul Carton
Anthony Sbarra
Laurie Williams
Dr. Tomas Rahkonen
Rose Weinschenk