The challenge of managing AI training-related power swings is still relatively new. Addressing these swings at their root cause — the IT hardware itself — can be both technically and economically effective.
On average, cloud provider outages affected application availability less in 2025 than in 2024. Yet risk remains: an unfortunate choice of zone or region can subject even well-planned applications to hours of disruption.
AI-accelerated digital twins are central to many AI factory designs and builds. But despite progress in tackling specific power, cooling and IT challenges, most applications remain unproven beyond initial pilots and lack a clear return on investment.
As the data center industry incorporates new AI tools into operations, operators need to maintain strong human oversight to prevent downtime. AI tools cannot eliminate human error, but they may diminish skill development.
NERC's draft computational load standards could redefine data centers as active grid participants, requiring new modeling, data reporting, operational coordination and disturbance reporting in a bid to protect grid stability.
This report reviews the key deployment considerations to ensure that risks associated with Li-ion battery energy storage in UPS systems are understood and mitigated appropriately.
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.
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.
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.
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.
Daniel Bizo
Dr. Owen Rogers
John O'Brien
Rose Weinschenk
Jay Dietrich
Peter Judge
Douglas Donnellan
Max Smolaks
Andy Lawrence
Dr. Tomas Rahkonen