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Douglas Donnellan Andy Lawrence Daniel Bizo Dr. Owen Rogers Peter Judge Jacqueline Davis Max Smolaks Rose Weinschenk

29 Jul 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.

Daniel Bizo

28 Jul 2025

The data center industry is on the cusp of the hyperscale AI supercomputing era, where systems will be more powerful and denser than the cutting-edge exascale systems of today. But will this transformation really materialize?

Douglas Donnellan

23 Jul 2025

AI training can strain power distribution systems and shorten hardware life - especially in data centers not built for dynamic workloads. Many operators may be underestimating these risks during design and capacity planning.

Daniel Bizo

30 Jun 2025

Training large transformer models is different from all other workloads - data center operators need to reconsider their approach to both capacity planning and safety margins across their infrastructure.

Andy Lawrence

24 Jun 2025

A report by Uptime's Sustainability and Energy Research Director Jay Dietrich merits close attention; it outlines a way to calculate data center IT work relative to energy consumption. The work is supported by Uptime Institute and The Green Grid.

Dr. Tomas Rahkonen

10 Jun 2025

To meet the demands of unprecedented rack power densities, driven by AI workloads, data center cooling systems need to evolve and accommodate a growing mix of air and liquid cooling technologies.

Max Smolaks

4 Jun 2025

Today, GPU designers pursue outright performance over power efficiency. This is a challenge for inference workloads that prize efficient token generation. GPU power management features can help, but require more attention.

Daniel Bizo

28 May 2025

The past year warrants a revision of generative AI power estimates, as GPU shipments have skyrocketed, despite some offsetting factors. However, uncertainty remains high, with no clarity on the viability of these spending levels.

Dr. Owen Rogers

23 May 2025

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.

Daniel Bizo

15 May 2025

The US government's AI compute diffusion rules, introduced in January 2025, will be rescinded - with new rules coming. It warns any dealings linked to advanced Chinese chips will require US export authorization. Operators still face tough demands.

Peter Judge

6 May 2025

In the US, the politicization of data center development is underway, driven by its impact on power prices. As state governments seek ways to protect consumers, operators will need to engage in the policy debate.

Max Smolaks

1 May 2025

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?

John O'Brien

22 Apr 2025

Digital twins are increasingly valued in complex data center applications, such as designing and managing facilities for AI infrastructure. Digitally testing and simulating scenarios can reduce risk and cost, but many challenges remain.

Dr. Tomas Rahkonen

11 Apr 2025

While AI infrastructure build-out may focus on performance today, over time data center operators will need to address efficiency and sustainability concerns.

Daniel Bizo

21 Mar 2025

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.