Although cloud platforms often offer the lowest cost for AI inference, on-premises deployment may be preferable due to application architecture, data locality and control requirements.
The cost of AI inference varies widely depending on deployment model, utilization and hardware. This pricing tool compares on-premises, colocation, cloud infrastructure and managed AI platforms on a like-for-like basis.
PUE measures facility energy overhead relative to IT load, but it does not show how much of a site's provisioned power envelope ultimately reaches IT. Power and compute effectiveness (PCE) introduces a metric that makes this allocation visible.
Some countries are attempting to create capacity headroom for new facilities by applying efficiency limits to existing data centers. In Singapore, reducing PUE will be expensive for operators.
Net-zero commitments are becoming more common across the data center industry, but power demand growth and stricter carbon accounting rules are reshaping expectations.
As the data center industry aims to address rising power density, technical developments in facilities are undergoing significant changes. With average rack densities climbing, new ways to configure and power data centers are increasing. To keep up…
Cloud and AI growth are straining power systems, and the US GRID Act could make expansion more difficult. The industry will need greater transparency on projected energy and water use, project plans, and incentives.
Uptime Intelligence analysis shows that minimum thresholds for IT power utilization misrepresents server work capacity utilization. These thresholds can unintentionally incentivize operators to disable server energy efficiency features.
Results from Uptime Institute's 2026 AI Infrastructure Survey (n=1,141) focus on the data center infrastructure currently used or being planned to use to host AI Training and AI Inference, as well as future industry outlooks on the usage of AI. The…
Concerns over rising electricity costs and environmental impact are driving local opposition to new data center projects in the US, prompting a growing number of cancellations.
Operators are proposing behind-the-meter power systems to accelerate the buildout of new AI data center infrastructure. Executing this strategy requires regulatory changes in many jurisdictions and new data center design approaches.
While DCIM software has certain characteristics of a digital twin, persistent data quality and system interoperability issues mean a true digital twin for data center operations is still some way off.
There is a growing list of reasons why designers and operators are re-examining issues around redundancy and resiliency — but for most, it is inescapable: current levels of resiliency will need to be maintained.
Growing workload demand continued to drive capacity growth in 2025. Results from the Uptime Institute Service Providers and Capacity Survey 2025 offer an insight into trends in capacity growth and the adoption of hybrid strategies.
French data center operators must meet strict PUE and WUE targets from early 2027 to maintain their electricity tax benefits.
Dr. Owen Rogers
Dr. Rand Talib
Peter Judge
Douglas Donnellan
Daniel Bizo
Chris Brown
Jay Dietrich
Dr. Tomas Rahkonen
Paul Carton
Anthony Sbarra
Laurie Williams
Max Smolaks
John O'Brien
Andy Lawrence
Rose Weinschenk