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.
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.
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.
Rapidly increasing electricity demand requires new generation capacity to power new data centers. What are some of the new, innovative power generation technology and procurement options being developed to meet capacity growth and what are their pote...
When building cloud applications, organizations cannot rely solely on cloud provider infrastructure for resiliency. Instead, they must architect their applications to survive occasional service and data center outages.
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.
This report highlights some of the findings from the Uptime Institute Capacity Trends and Cloud Survey 2024. In particular, this report offers an insight into what drives migration to and from the public cloud.
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 cost of low-carbon green hydrogen will be prohibitive for primary power for many years. Some operators may adopt high-carbon (polluting) gray hydrogen ahead of transitioning to green hydrogen
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.
AI infrastructure increases rack power, requiring operators to upgrade IT cooling. While some (typically with rack power up to 50 kW) rely on close-coupled air cooling, others with more demanding AI workloads are adopting hybrid air and DLC.