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…
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.
The updated model projects a doubling of power consumption by the end of 2026, with IT loads serving generative AI workloads breaking through 10 GW of capacity.
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.
AI is changing how data centers operate, what began with algorithmic fine-tuning of chilled-water plants is now moving into the IT side of operations, closer to the load. But will operators ever trust AI enough to let it run the room?
From on-prem AI to high-density IT, this webinar examined survey findings on how operators are preparing for what's next.
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.
Several operators originally established to mine cryptocurrencies are now building hyperscale data centers for AI. How did this change happen?
The Uptime Institute Global Data Center Survey, now in its 15th year, is the most comprehensive and longest-running study of its kind. The findings in this report highlight the practices and experiences of data center owners and operators in the…
Douglas Donnellan
Andy Lawrence
Daniel Bizo
Dr. Owen Rogers
Peter Judge
Jacqueline Davis
Max Smolaks
Rose Weinschenk
The 15th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in the areas of resiliency, sustainability, efficiency, staffing, cloud and AI.
Chris Brown
Muhammad Naveed Saeed
Dr. Rand Talib
John O'Brien
Matt Stansberry
Madeleine Kudritzki