The prevention of outages has always been a top priority for data center owners and operators — but outages do occur. This report analyzes recent Uptime Institute data on IT and data center outages: their causes, costs and consequences.
Many operators expect GPUs to be highly utilized, but examples of real-world deployments paint a different picture. Why are expensive compute resources being wasted — and what effect does this have on data center power consumption?
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.
Mentorships: practical strategies for retaining new employees
Network benchmarking: Expected useful life (EUL) for data center equipment
On-premises clouds: not so plane and simple
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REPLAY | Uptime Intelligence Client Webinar: Cooling limitations for AI data centers
AI in Data Center Operations
How does Delta’s UPS quality compare to established suppliers?
Power Capacity within Data Center Racks
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?
Digital twins: reshaping AI infrastructure planning
OPINION | For a grid connection, form a disorderly line
EU climate reporting: simplification is not simple
DORA update: what the EU act means for data centers
Tariff tensions undermine trust in cloud hyperscalers
DeepSeek bans: implications for data centers
Hardware for AI: options and directions
AI adds to rising demand for capacity
The booming data center sector grapples with tariff chaos
Quantum’s quandary: racing toward reality or stuck in hyperbole?
Should operators continue to prepare for climate risk reporting?