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.
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.
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.
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.
Microsoft and other major campus operators are increasing transparency on new projects and committing to absorb their full development costs, but further commitments are needed to fully address public concerns.
Data from Uptime Intelligence's giant data center analysis indicates that proposed power capacity and investment tied to giant data centers and campuses are at unprecedented levels.
Uptime Institute's Sustainability and Climate Change Survey (n=1,054) benchmarks the data center industry in areas such as sustainability assessments, responses to extreme weather events, and how operators are handling regulatory requirements.The…
Uptime Intelligence looks beyond the more obvious trends of 2026 and examines some of the latest developments and challenges shaping the data center industry.
Nvidia’s DSX proposal outlines a software-led model where digital twins, modular design and automation could shape how future gigawatt-scale AI facilities operate, even though the approach remains largely conceptual.
The Uptime Intelligence research agenda includes a list of published and planned data center research reports for 2026, focusing on: AI workloads, power, cooling, sustainability, resiliency, operations, staffing, and security.
Colocation and enterprise companies have endured ongoing staffing issues, and accelerated growth in 2026 will strain hiring pools further. Strategies to address worker vacancies vary, but few have been successful.
Giant data centers are being planned and built across the world to support AI, with successful projects forming the backbone of a huge expansion in capacity. But many are also uncertain, indicating risks and persistent headwinds.
Enterprise and colocation operators continue to invest in growth heading into 2026. However, survey results suggest that strategies for balancing IT, capacity and workforce spending will diverge in the year ahead.
Uptime Institute's 2025 Service Providers and Capacity Survey (n=872) benchmarks the industry in the areas of public cloud, capacity in owned data centers, and capacity in colocation facilities.The attached data files below provide full results of…