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.
The challenge of managing AI training-related power swings is still relatively new. Addressing these swings at their root cause - the IT hardware itself - can be both technically and economically effective.
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.
Cloud availability improved in 2025 — but worst cases worsen
AI-accelerated digital twins: lessons for operators
Preventing skill decay as AI use expands
NERC Computational loads reliability standards
Critical spares management: In-House vs. Spare-Parts-as-a-Service
Copper is becoming a systems constraint, not just a commodity issue
Do you use AI to detect and report underutilized IT hardware?
Flash AIR: 2026-02-04 - Axial Cooling Fan Failures
Conductive dust (Metallic)
Data centers face new scrutiny over heat island effect
A culture of token abundance collides with financial reality
No single hosting model dominates AI training
Rethinking thermal storage as a capacity tool
Consensus and confusion in liquid cooling maintenance
Dry cooling energy performance can rival evaporative cooling
Draft grid rules position data centers as active grid participants
Hourly-matched net-zero by 2030 was an unrealistic Holy Grail
Is demand response a viable accelerator for grid interconnects?
Mitigating lithium-ion fire risks: a review
Choosing an AI training venue: speed versus control
Improving outage trends mask growing risks
Ireland: on-site power is forced through the grid
Grid flexibility classification gives structure to demand response
Vendors are unreasonably optimistic about AI in operations
