Organizations currently performing AI training and inference leverage resources from a mix of facilities. However, most prioritize on-premises data centers, driven by data sovereignty needs and access to hardware.
Digital twins are increasingly valued in complex data center applications, such as designing and managing facilities for AI infrastructure.
The European Commission aims to ease climate risk reporting by removing mid-cap operators from CSRD's scope and delaying reports till 2028.
DORA update: what the EU act means for data centers
Tariff tensions undermine trust in cloud hyperscalers
The booming data center sector grapples with tariff chaos
RECAP | Uptime Network EMEA Spring Conference 2025, Amsterdam
RECAP | Uptime Network Americas Spring Conference 2025, Atlanta
REPLAY | Uptime Intelligence Client Webinar: Cooling limitations for AI data centers
Severe Weather Seasonal Prep
Equipment Field Change Notices
Cool two-part case study on dashboards and cooling efficiency now available!
Water is local: generalities do not apply
Density choices for AI training are increasingly complex
AI load and chiller systems: key considerations
Are data centers to blame for power quality issues?
Small modular reactors: building critical mass
The DeepSeek paradox: more efficiency, more infrastructure?
OPINION | For a grid connection, form a disorderly line
Sustainability requirements rise as climate risks intensify
Should operators continue to prepare for climate risk reporting?
Cloud availability comes at a price
DeepSeek bans: implications for data centers
Hardware for AI: options and directions
AI adds to rising demand for capacity
Quantum’s quandary: racing toward reality or stuck in hyperbole?
Cloud repatriation is overstated
