Serverless container services enable rapid scalability, which is ideal for AI inference. However, inconsistent and opaque pricing metrics hinder comparisons. This report uses machine learning to derive clear guidance by means of decision trees.
Current geopolitical tensions are eroding some European organizations’ confidence in the security of hyperscalers; however, moving away from them entirely is not practically feasible.
Underground hot rocks are emerging as a source of firm, low-carbon power for data centers, with new techniques expanding viable locations. Compared with nuclear, geothermal may be better positioned to support planned data center growth.
Ransomware incidents on OT equipment surge
Electrical considerations with large AI compute
Are EU data center performance values creating chaos?
REPLAY | Uptime Intelligence Client Webinar: Grid sustainability in the AI age
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Electricity tariff rates at Southern US states vs Northern States for mid to large scale…
How do you calculate the computer room temperature rate of rise?
AI Applications in Data Center Infrastructure Management
Serverless container pricing tool
Hold the line: liquid cooling’s division of labor
AI and cooling: chilled water system topologies
Water is local: generalities do not apply
Power shortages may drive an on-prem renaissance
GPU power management is a work in progress
Gen AI power consumption surges higher faster
EED status update: implications for data centers
Is this the data center metric for the 2030s?
Seven fallacies of data center cybersecurity
Cybersecurity and the cost of human error
Data centers weather grid failures — but utilities want change
Enterprises are still a key venue for corporate workloads
Cloud AI needs cost discipline now
Error-proof emergency communications for facility teams
