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.
Liquid cooling contained within the server chassis lets operators cool high-density hardware without modifying existing infrastructure. However, this type of cooling has limitations in terms of performance and energy efficiency.
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.
EU energy efficiency package may slow digital growth
Malaysia manages data center growth with regulations
Europe will not abandon the hyperscalers
REPLAY | Uptime Intelligence Client Webinar: Grid sustainability in the AI age
REPLAY | Reliability Engineering: Applying data center operations principles to enhance team…
REPLAY | Inside the Uptime Network: Exclusive insights and what's next for data center leaders
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
AI and cooling: limits on efficiency gains and heat reuse
Electrical considerations with large AI compute
Power shortages may drive an on-prem renaissance
GPU power management is a work in progress
Are EU data center performance values creating chaos?
EED status update: implications for data centers
Is this the data center metric for the 2030s?
Ransomware incidents on OT equipment surge
Seven fallacies of data center cybersecurity
Enterprises are still a key venue for corporate workloads
Cloud AI needs cost discipline now
Error-proof emergency communications for facility teams
