The high capital and operating costs of infrastructure for AI mean an outage can have a significant financial impact due to lost training hours
The high capital and operating costs of infrastructure for AI mean an outage can have a significant financial impact due to lost training hours
The US’ SEC has withdrawn requirements for climate risk reporting, and the EU is revising its rules. Despite this, strong drivers remain for operators to measure their environmental impact
Scalability and cost efficiency are the top reasons enterprises migrate to the cloud, but scalability issues due to application design flaws can lead to spiralling costs — and some workload repatriation to on-premises facilities
Compared with most traditional data centers, those hosting large AI training workloads require increased attention to dynamic thermal management, including capabilities to handle sudden and substantial load variations effectively.
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.
Understanding the principles of human behavior and how they relate to community engagement and siting strategies can reduce potential conflict between data centers and local residents
Large data centers can affect grid power quality, inviting community scrutiny. Best practices already protect power quality in facilities and grids, but operators may need to increase monitoring and publicize their efforts.
On average, cloud apps achieve availabilities of 99.97% regardless of their architecture. However, for the unlucky few that experience issues, a dual-region design has five times less downtime than one based on a single data center.
SMRs promise to usher in an era of dispatchable low-carbon energy. At present, however, their future is a blurry expanse of possibilities rather than a clear path ahead, as key questions of costs, timelines and operations remain.
Agentic AI offers enormous potential to the data center industry over the next decade. But are the benefits worth the inevitable risks?
The European Commission, with the assistance of operators, needs to correct ambiguities in the EED reporting processes. Industry solutions can improve the quality and completeness of the submitted data.
The European Commission will soon publish its delegated report, recommending a data center rating scheme and performance standards. The accelerated timeline is too short to facilitate meaningful evaluation of these topics.
The emergence of the Chinese DeepSeek LLM has raised many questions. In this analysis, Uptime Intelligence considers some of the implications for all those primarily concerned with the deployment of AI infrastructure.
Operators and investors are planning to spend hundreds of billions of dollars on supersized sites and vast supporting infrastructures. However, increasing constraints and uncertainties will limit the scale of these build outs.
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