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 ser...
Chinese large language model DeepSeek has shown that state of the art generative AI capability may be possible at a fraction of the cost previously thought.
AI is not a uniform workload — the infrastructure requirements for a particular model depend on a multitude of factors. Systems and silicon designers envision at least three approaches to developing and delivering AI.
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 a...
Agentic AI offers enormous potential to the data center industry over the next decade. But are the benefits worth the inevitable risks?
The New York state senate recently proposed legislation mandating data center information reporting and operational requirements. Although the Bill is unlikely to pass, the legislation indicates a likely framework for future regulation
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.
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.
Douglas Donnellan
Andy Lawrence
Daniel Bizo
Jacqueline Davis
Tomas Rahkonen
Muhammad Naveed Saeed
John O'Brien
Max Smolaks
Rose Weinschenk
Paul Carton
Anthony Sbarra
Laurie Williams
Jay Dietrich
Owen Rogers
Peter Judge