Many operators expect GPUs to be highly utilized, but examples of real-world deployments paint a different picture. Why are expensive compute resources being wasted — and what effect does this have on data center power consumption?
While AI infrastructure build-out may focus on performance today, over time data center operators will need to address efficiency and sustainability concerns.
Results from Uptime Institute's 2025 Data Center Resiliency Survey (n=970) focus on data center resiliency issues and the impact of outages on the data center sector globally.The attached data files below provide full results of the survey,…
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…
Critics argue that data center water use is excessive and poorly managed. Operators should select a cooling system to fit the local climate and available water supply, explaining water use within the context of local conditions.
High-end AI systems receive the bulk of the industry’s attention, but organizations looking for the best training infrastructure implementation have choices. Getting it right, however, may take a concerted effort.
Compared with most traditional data centers, those hosting large AI training workloads require increased attention to dynamic thermal management, including capabilities to handle sudden and substantial load variations effectively.
Large data centers can affect grid power quality, inviting community scrutiny. Best practices already protect power quality in facilities and grids, but operators may need to increase monitoring and publicize their efforts.
SMRs promise to usher in an era of dispatchable low-carbon energy. At present, however, their future is a blurry expanse of possibilities rather than a clear path ahead, as key questions of costs, timelines and operations remain.
Rapidly increasing electricity demand requires new generation capacity to power new data centers. What are some of the new, innovative power generation technology and procurement options being developed to meet capacity growth and what are their…
The emergence of the Chinese DeepSeek LLM has raised many questions. In this analysis, Uptime Intelligence considers some of the implications for all those primarily concerned with the deployment of AI infrastructure.
Operators and investors are planning to spend hundreds of billions of dollars on supersized sites and vast supporting infrastructures. However, increasing constraints and uncertainties will limit the scale of these build outs.
The cost of low-carbon green hydrogen will be prohibitive for primary power for many years. Some operators may adopt high-carbon (polluting) gray hydrogen ahead of transitioning to green hydrogen
AI infrastructure increases rack power, requiring operators to upgrade IT cooling. While some (typically with rack power up to 50 kW) rely on close-coupled air cooling, others with more demanding AI workloads are adopting hybrid air and DLC.
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…
Max Smolaks
Tomas Rahkonen
Paul Carton
Anthony Sbarra
Laurie Williams
Andy Lawrence
Daniel Bizo
Jacqueline Davis
Muhammad Naveed Saeed
Jay Dietrich
John O'Brien
Peter Judge
Owen Rogers
Douglas Donnellan