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REPLAY | Uptime Institute 15th Annual Global Data Center Survey Results

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…

Uptime Institute Global Data Center Survey 2025

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.

21 Jul 2025
Digital twins: the role of simulations

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.

Data center AI strategies are mixed in early 2025

 Nearly one in three operators report that their organization performs AI training and inference in early 2025. Although most operators plan to support AI in the future, current infrastructure strategies offer insight into how future deployments may…

REPLAY | Uptime Intelligence Client Webinar: Cooling limitations for AI data centers

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…

AI adds to rising demand for capacity

Capacities continue to grow for both enterprises and colocation providers, with colocation companies expanding more rapidly. Growth in general-purpose IT remains the single greatest driver of rising data center demand overall, but the need to…

2025 AI Infrastructure Survey [Results and Crosstab files]

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…

19 Feb 2025
Agentic AI shows promise - but also carries risk

Agentic AI offers enormous potential to the data center industry over the next decade. But are the benefits worth the inevitable risks?

Cloud a viable choice amidst uncertain AI returns

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.

23 Jan 2025
Data center management software: the evolving role of DCIM

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.

REPLAY | Five data center predictions for 2025

Uptime Intelligence surveys the data center industry landscape to look deeper at what can actually happen in 2025 and beyond based on the latest trends and developments. The stronghold that AI has on the industry is a constant discussion - but how…

Five data center predictions for 2025

Uptime Intelligence looks beyond the more obvious trends of 2025 and examines some of the latest developments and challenges shaping the data center industry.

12 Dec 2024
Why AWS's AI strategy is a sprint

Cloud providers need to win AI use cases in their early stages of development. If they fail to attract customers, their AI applications may be locked-in to rival platforms and harder to move, which can have serious repercussions.

REPLAY | Uptime Intelligence Client Webinar: Cooling the AI heat wave

In this inaugural Uptime Intelligence client webinar, Uptime experts discuss and answer questions on cooling technologies and strategies to address AI workloads. Uptime Intelligence client webinars are only available for Uptime Intelligence…

27 Nov 2024
Why bigger is not better: gen AI models are shrinking

Not all generative AI applications will require large and dense infrastructure footprints. This complicates AI power consumption projections and data center planning.

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