Data center waste heat does not significantly raise local temperatures, but concerns over the heat island effect demand a robust response that addresses monitoring and mitigation measures.
Results from Uptime Institute's 2026 Data Center Operations and AI Survey (n=867) focus AI training and AI inference workloads hosted in data centers, as well as how AI workloads are being deployed in terms of data center cooling systems and rack…
The US state of Virginia has retained its sales-and-use-tax exemptions for data centers but is imposing a new tax on electricity use: a move that highlights the trade-offs, uncertainties and potential spread of industry-specific taxation.
Access to the latest hardware and rapid speed of deployment make public cloud attractive; yet today most training workloads run on-premises.
For years, the industry has celebrated a reassuring trend: despite a growing number of outages, resiliency has continued to improve. But as AI-driven expansion accelerates, that long-running improvement may be about to stall: or even reverse.
The Irish answer to the grid integration question is stark: all on-site power must be exported to the grid and repurchased at market prices.
Data center cooling system designs influence both energy efficiency and water consumption. This session presents new analyses of monthly PUE and WUE performance using operational data from multiple facilities. The findings indicate that both…
In this webinar, we outlined how to build a robust operations and management strategy for AI data centers in a time where extreme power densities, liquid cooling complexity, and rapid hardware refresh cycles demanded a fundamentally different…
A new framework from the Electric Power Research Institute (EPRI) creates a classification system for data center demand response capabilities to help promote grid flexibility and, in turn, support the continued growth of digital infrastructure.
Internal efforts to maximize token use, combined with changes in LLM pricing structures, have rapidly increased enterprise AI spending. Yet there is often limited visibility into whether such expenditures are creating value.
Can batteries transform how data centers power AI and connect to the grid? To do so, BESS technologies will need further economic and technical improvements to unlock faster interconnections, cleaner energy and smarter power control.
Vendors and consultants expect broad and rapid adoption of AI in data center management, but they may be overestimating operators' appetite for change.
Traditional air gap security presents a barrier to applications requiring live IT-OT telemetry data. Rising interest in real-time monitoring and AI-driven operations requires a rethink of outdated, inflexible cybersecurity approaches.
Operators in most geographies should reconsider hastily-set commitments to reach 24x7 carbon-free energy consumption. Instead, they should adopt more realistic goals.
More data center operators are performing AI training in 2026, and this type of workload continues to be distributed across a wide range of data center venues. No single hosting model has emerged as the default.
Peter Judge
Paul Carton
Anthony Sbarra
Laurie Williams
Douglas Donnellan
Max Smolaks
Andy Lawrence
Dr. Rand Talib
Jay Dietrich
Chris Brown
Madeleine Kudritzki
Dr. Tomas Rahkonen
Dr. Owen Rogers
John O'Brien