The Uptime Institute Global Data Center Survey, now in its 16th year, highlights the practices, perceptions, intentions and experiences of data center owners and operators across resiliency, sustainability, efficiency, staffing, cloud and AI.
As the data center industry incorporates new AI tools into operations, operators need to maintain strong human oversight to prevent downtime. AI tools cannot eliminate human error, but they may diminish skill development.
Can batteries transform how data centers power AI and connect to the grid? To do so, BESS technologies will need further economic and technical improvements to unlock faster interconnections, cleaner energy and smarter power control.
Draft grid rules position data centers as active grid participants
Mitigating lithium-ion fire risks: a review
Data centers face new scrutiny over heat island effect
Critical spares management: In-House vs. Spare-Parts-as-a-Service
Copper is becoming a systems constraint, not just a commodity issue
RTO and MTTR for data center facilities and equipment
Do you use AI to detect and report underutilized IT hardware?
Flash AIR: 2026-02-04 - Axial Cooling Fan Failures
Conductive dust (Metallic)
A culture of token abundance collides with financial reality
No single hosting model dominates AI training
The problem with energy per token
Rethinking thermal storage as a capacity tool
Consensus and confusion in liquid cooling maintenance
Dry cooling energy performance can rival evaporative cooling
Hourly-matched net-zero by 2030 was an unrealistic Holy Grail
Is demand response a viable accelerator for grid interconnects?
NERC alert points to future of grid
Choosing an AI training venue: speed versus control
Improving outage trends mask growing risks
Vendors are unreasonably optimistic about AI in operations
Ireland: on-site power is forced through the grid
Grid flexibility classification gives structure to demand response
Real-time telemetry requires modern, flexible cybersecurity
