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.
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.
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 ca...
This summary of the 2025 predictions highlights the growing concerns and opportunities around AI for data centers.
Power and cooling requirements for generative AI training are upending data center design and accelerating liquid cooling adoption. Mainstream business IT will not follow until resiliency and operational concerns are addressed.
Uptime Intelligence looks beyond the more obvious trends of 2025 and examines some of the latest developments and challenges shaping the data center industry.
As a quick reference, we have provided links below to all the research reports published by Uptime Intelligence in 2024, by month. Research areas focused on 1) power generation, distribution, energy storage; 2) data center management software; 3) sus...
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 subscribe...
Generative AI is not only accelerating the adoption of liquid cooling but also its technical evolution. Partly due to runaway silicon thermal power levels, this has led to a convergence in technical development across vendors.
Raising supply air temperature is drawing interest from data center providers and regulators in some countries. While saving energy, it may also reduce resiliency. This report quantifies energy impacts to clarify when it can be beneficial.
Historically, data center waste heat recovery has been promoted with a focus on the benefits for the heat off-taker. And yet, the overall winner in most situations is the data center operator — even if they are not paid for heat.
Data center operators building new systems can choose from nine categories of cooling technology. Innovative cooling equipment has minimized energy and water use and the average PUE for air-cooled and water-cooled systems.
Jay Dietrich
Daniel Bizo
Tomas Rahkonen
Andy Lawrence
Max Smolaks
Owen Rogers
Douglas Donnellan
Jacqueline Davis
Peter Judge
Chris Brown