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3 days ago
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 days ago
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
 
4 days ago
Europe will not abandon the hyperscalers

Current geopolitical tensions are eroding some European organizations’ confidence in the security of hyperscalers; however, moving away from them entirely is not practically feasible.

 
4 days ago
Ransomware incidents on OT equipment surge

Data center operators are increasingly aware that their operational technology systems are vulnerable to cyberattacks. Recent incident reports show a rise in ransomware attacks, which pose significant risks to data centers

 
6 days ago
Electrical considerations with large AI compute

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.

 
24 Jun 2025
Is this the data center metric for the 2030s?

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.

 
4 Jun 2025
GPU power management is a work in progress

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.

 
2025 Global Data Center Survey [Results and Crosstabs]

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. The attached data files…

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.

 
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.

 
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?

 
23 Apr 2025
On-premises clouds: not so plane and simple

Hyperscalers offer a confusing array of on-premises versions of their public cloud-enabling infrastructure — the differences between them are rooted in whether the customer or the provider manages the control plane and server hardware.

 
9 Apr 2025
'Reasoning' will increase the infrastructure footprint of AI

AI vendors claim that “reasoning” can improve the accuracy and quality of the responses generated by LLMs, but this comes at a high cost. What does this mean for digital infrastructure?

 
2025 Data Center Resiliency Survey [Results and Crosstab files]

Results from Uptime Institute's 2025 Data Center Resiliency Survey (n=970) focus on data center resiliency issues and the impact of outages on the data center sector globally.The attached data files below provide full results of the survey,…

21 Mar 2025
Density choices for AI training are increasingly complex

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.

 
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