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.
The data center industry is on the cusp of the hyperscale AI supercomputing era, where systems will be more powerful and denser than the cutting-edge exascale systems of today. But will this transformation really materialize?
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.
As AI workloads surge, managing cloud costs is becoming more vital than ever, requiring organizations to balance scalability with cost control. This is crucial to prevent runaway spend and ensure AI projects remain viable and profitable.
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…
This report highlights some of the findings from the Uptime Institute Capacity Trends and Cloud Survey 2024. Findings offer insight into what is driving capacity expansion.
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…
Agentic AI offers enormous potential to the data center industry over the next decade. But are the benefits worth the inevitable risks?
Dedicated AI infrastructure helps ensure data is controlled, compliant and secure, while models remain accurate and differentiated. However, this reassurance comes at a cost that may not be justified compared with cheaper options.
The US government is applying a new set of rules to control the building of large AI clusters around the world. The application of these rules will be complex.
Data center infrastructure management software is widely used but rarely utilized at full potential. Adopting the latest capabilities and optimizations could achieve better resiliency and efficiency.
Dr. Rand Talib
John O'Brien
Dr. Tomas Rahkonen
Muhammad Naveed Saeed
Paul Carton
Anthony Sbarra
Laurie Williams