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 Rising interest in real-time monitoring and AI-driven operations requires a rethink of outdated, inflexible cybersecurity approaches.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.
AI workloads are forcing operators to rethink cooling infrastructure: as power constraints intensify, thermal energy storage is gaining renewed attention as a way to shift cooling demand, reduce peak load and increase usable IT capacity.
The early years of scale DLC deployment came with complexities in system design, coolant chemistry, resiliency design and maintenance practices. Operator experiences suggest consensus is beginning to form, if imperfectly.
AI data centers are racing ahead, but the grid isn't keeping up: operators need to rethink how they connect to, generate and manage energy to unlock expansion without overwhelming already strained generation and transmission systems.
New flagship AMD and Intel servers with high core counts push performance boundaries while improving efficiencies. This report breaks down and visualizes improvements based on an analysis of SERT data.
Andy Lawrence
Peter Judge
Dr. Rand Talib
Jay Dietrich
Chris Brown
Madeleine Kudritzki
Dr. Tomas Rahkonen
Dr. Owen Rogers
Max Smolaks
John O'Brien
Douglas Donnellan
Jacqueline Davis