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.
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.
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…
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.
Investment in giant data centers and high-density AI infrastructure is driving a surge of interest in digital twins and AI-enabled simulations. However, experience in the field of computational fluid dynamics suggests obstacles lie ahead.
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.
How far can we go with air? Uptime experts discuss and answer questions on cooling strategies and debate the challenges and trade-offs with efficiency and costs.Please watch this latest entry in the Uptime Intelligence Client Webinar series. The…