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
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.
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.
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?
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 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.
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.
A new wave of GPU-focused cloud providers is offering high-end hardware at prices lower than those charged by hyperscalers. Dedicated infrastructure needs to be highly utilized to outperform these neoclouds on cost.
The US government is applying a new set of rules to control the building of large AI clusters around the world. The application of these rules will be complex.
The data center industry’s growth projections can be met by combining energy supply growth and demand reduction. Highly utilized IT infrastructure and efficient software can mitigate demand growth while delivering needed IT capacity.
Hyperscalers design their own servers and silicon to scale colossal server estates effectively. AWS uses a system called Nitro to offload virtualization, networking and storage management from the server processor onto a custom chip.
If adopted, the UNEP U4E server and storage product technical specifications may create a confusing and counter-productive regulatory structure. The current proposals are as likely to limit as improve data center operations' efficiency
Uptime Intelligence surveys the data center industry landscape to look deeper at what can actually happen in 2025 and beyond based on the latest trends and developments. The stronghold that AI has on the industry is a constant discussion - but how ca...
Douglas Donnellan
Owen Rogers
Max Smolaks
Rose Weinschenk
John O'Brien
Andy Lawrence
Daniel Bizo
Peter Judge
Jay Dietrich