Digital twins are increasingly valued in complex data center applications, such as designing and managing facilities for AI infrastructure. Digitally testing and simulating scenarios can reduce risk and cost, but many challenges remain.
Organizations currently performing AI training and inference leverage resources from a mix of facilities. However, most prioritize on-premises data centers, driven by data sovereignty needs and access to hardware.
The global tariff crisis initiated by the US administration is expected to have strong, long-lasting effects on the data center sector, driving up prices and slowing growth.
Data center builders who need power must navigate changing rules, unpredictable demands — and be prepared to trade.
The European Commission aims to ease climate risk reporting by removing mid-cap operators from CSRD's scope and delaying reports till 2028. But under current rules, 2025 reports are required and foreign-owned mid-cap operators stay covered.
Quantum computing progress is slow; press releases often fail to convey the work required to make practical quantum computers a reality. Data center operators do not need to worry about quantum computing right now.
The US’ SEC has withdrawn requirements for climate risk reporting, and the EU is revising its rules. Despite this, strong drivers remain for operators to measure their environmental impact
SMRs promise to usher in an era of dispatchable low-carbon energy. At present, however, their future is a blurry expanse of possibilities rather than a clear path ahead, as key questions of costs, timelines and operations remain.
Results from Uptime Institute's 2025 AI Infrastructure Survey (n=1,062) focus on the data center infrastructure currently used or being planned to use to host AI Training and AI Inference, as well as future industry outlooks on the usage of AI. The a...
Rapidly increasing electricity demand requires new generation capacity to power new data centers. What are some of the new, innovative power generation technology and procurement options being developed to meet capacity growth and what are their pote...
This report highlights some of the findings from the Uptime Institute Capacity Trends and Cloud Survey 2024. In particular, this report offers an insight into what drives migration to and from the public cloud.
The emergence of the Chinese DeepSeek LLM has raised many questions. In this analysis, Uptime Intelligence considers some of the implications for all those primarily concerned with the deployment of AI infrastructure.
Operators and investors are planning to spend hundreds of billions of dollars on supersized sites and vast supporting infrastructures. However, increasing constraints and uncertainties will limit the scale of these build outs.
AI infrastructure increases rack power, requiring operators to upgrade IT cooling. While some (typically with rack power up to 50 kW) rely on close-coupled air cooling, others with more demanding AI workloads are adopting hybrid air and DLC.
Power remains the top spending priority for most operators in 2025, but enterprises are set to increase IT hardware spending.
John O'Brien
Douglas Donnellan
Seb Shehadi
Daniel Bizo
Andy Lawrence
Peter Judge
Jay Dietrich
Owen Rogers
Paul Carton
Anthony Sbarra
Laurie Williams
Rose Weinschenk
Max Smolaks
Tomas Rahkonen