Direct liquid cooling challenges the common “line of demarcation” for responsibilities between facilities and IT teams. Operators lack a consensus on a single replacement model—and this fragmentation may persist for several years.
Although the share of processing handled by the corporate or enterprise sector has declined over the years, it has never disappeared. But there are signs that it may reclaim a more central role.
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.
Tensions between team members of different ranks or departments can inhibit effective communication in a data center, putting uptime at risk. This can be avoided by adopting proven communication protocols from other mission-critical industries.
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.
In today’s quickly evolving market, staying up to date on industry developments can be challenging. Join us for a deep dive on how transforming your operations can make your organization more resilient to evolving technologies, staffing, and…
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…
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…
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.
Jacqueline Davis
Andy Lawrence
Owen Rogers
Rose Weinschenk
Douglas Donnellan
Madeleine Kudritzki
Ryan Orr
Daniel Bizo
Tomas Rahkonen
Muhammad Naveed Saeed
John O'Brien
Max Smolaks
Paul Carton
Anthony Sbarra
Laurie Williams
Jay Dietrich
Peter Judge