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16 hours ago
EU energy efficiency package may slow digital growth

The EU is stepping up efforts to implement the Energy Efficiency Directive for data centers by announcing a related energy efficiency package, due to be released in Q1 2026.

 
3 Jul 2025
Serverless container pricing tool

Serverless container services enable rapid, per-second scalability, which is ideal for AI inference. However, inconsistent and opaque pricing metrics hinder comparisons. This pricing tool compares the cost of services across providers.

 
3 Jul 2025
Unraveling the cost complexity of serverless containers

Serverless container services enable rapid scalability, which is ideal for AI inference. However, inconsistent and opaque pricing metrics hinder comparisons. This report uses machine learning to derive clear guidance by means of decision trees.

Briefing Reports 16 min read
 
25 Jun 2025
EED status update: implications for data centers

Although the data center industry is mostly aware of the EU’s Energy Efficiency Directive, Uptime Intelligence’s research suggests widespread confusion on specific components of the directive — and its implementation status.

 
12 Jun 2025
Enterprises are still a key venue for corporate workloads

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.

 
12 Jun 2025
Power shortages may drive an on-prem renaissance

For the past 15 years, the case for moving workloads out of enterprise data centers and into the cloud and colocation has been strong. Power availability and demand for high-density capacity may change that.

28 May 2025
Gen AI power consumption surges higher faster

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.

 
23 May 2025
Cloud AI needs cost discipline now

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.

 
REPLAY | Inside the Uptime Network: Exclusive insights and what's next for data center leaders

We hosted an exclusive briefing on the Uptime Institute Network — the global community of data center leaders dedicated to improving operational resilience, efficiency, and strategic planning.

 
Data center sustainability standards 2025

This briefing report identifies and describes several de facto standards and laws used in the field of data center sustainability and efficiency (for convenience, we use the term “standards” for all).

Briefing Reports 10 min read
 
16 May 2025
The two sides of a sustainability strategy

Uptime Institute believes that data center operators should optimize facility-level sustainability performance before addressing ecosystem issues. A clear definition of data center sustainability is needed to enable this approach.

 
15 May 2025
Uncertainty and doubt as US changes GPU export rules again

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.

 
7 May 2025
Calculating work capacity for server and storage products

IT operators lack a credible work-per-energy metric to report overall IT and facilities system efficiency. Developments in reporting IT equipment work capacities enable the industry to begin experimenting with this metric.

6 May 2025
In the US, data center pushback is all about power

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.

 
1 May 2025
GPU utilization is a confusing metric

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?

 
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