AI is driving data center power densities and cooling requirements higher. New industry guidance endorsed by ASHRAE suggests the answer is not simply more cooling but more selective and dynamic use of cooling.
Findings from the Uptime Institute Data Center Security Survey 2026 reveal the impacts of cyber incidents and current assessment practices. They also highlight the challenge of securing OT without interrupting operations
A new type of machine learning model promises greater efficiency, but only across a narrow set of tasks. Its specialised approach could offer an alternative to LLMs in specific disciplines and use-cases.
Douglas Donnellan
Andy Lawrence
Daniel Bizo
Dr. Owen Rogers
Peter Judge
John O'Brien
Jacqueline Davis
Max Smolaks
Rose Weinschenk
The Uptime Institute Global Data Center Survey, now in its 16th year, highlights the practices, perceptions, intentions and experiences of data center owners and operators across resiliency, sustainability, efficiency, staffing, cloud and AI.
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 in data center operations is shifting from experimentation to early production use. Adoption remains cautious and bounded, focused on practical automation that supports operators rather than replacing them.
Is your infrastructure prepared for the demands of artificial intelligence? Discover how to create resilient, adaptable, and scalable systems that can meet the intensive requirements of modern AI applications. In this engaging session, Uptime's…
In this webinar and report, Uptime Intelligence looks beyond the more obvious trends of 2026 and examines some of the latest developments and challenges shaping the industry. AI is transforming data center strategies, but its impact remains uneven…
Uptime Intelligence's predictions for 2025 are revisited and reassessed with the benefit of hindsight.
As the data center industry seeks to optimize AI hosting, it must also determine the most effective ways to leverage it for operational purposes.Uptime Intelligence analysts John O'Brien and Rose Weinschenk discuss key aspects of AI that can be used…
AI workloads are driving a fundamental shift in data center design and operations. Higher power densities, new cooling paradigms (direct liquid cooling and immersion), more aggressive serviceability requirements, and a rapidly evolving vendor and…
Not all AI is the same; yet broad marketing claims often blur the line between automation and real intelligence. Understanding which AI types truly pose risks is essential in diminishing operator skepticism and fears of hallucinations.
There is an expectation that AI will be useful in data center operations. For this to happen, software vendors need to deliver new products and use cases - and these are starting to appear more often.
Most operators do not trust AI-based systems to control equipment in the data center - this has implications for software products that are already available, as well as those in development.
Rising IT power densities are pushing chilled water systems to their limits. AI-driven control offers predictive load management, optimized sequencing and stable delta-T under demanding conditions.
Dr. Rand Talib
Chris Brown
Muhammad Naveed Saeed
Matt Stansberry
Madeleine Kudritzki