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.
Internal efforts to maximize token use, combined with changes in LLM pricing structures, have rapidly increased enterprise AI spending. Yet there is often limited visibility into whether such expenditures are creating value.
More data center operators are performing AI training in 2026, and this type of workload continues to be distributed across a wide range of data center venues. No single hosting model has emerged as the default.
Vendors are unreasonably optimistic about AI in operations
Real-time telemetry requires modern, flexible cybersecurity
Hourly-matched net-zero by 2030 was an unrealistic Holy Grail
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
AIRs Access Workaround
Looking to leverage the strength of the data center community searching for obsolete Square…
Looking to talk with Network members about the impact of density changes on data center…
The problem with energy per token
NERC alert points to future of grid
How AI training choices affect infrastructure costs
Rethinking thermal storage as a capacity tool
Consensus and confusion in liquid cooling maintenance
Dry cooling energy performance can rival evaporative cooling
Is demand response a viable accelerator for grid interconnects?
Emerging tech: carbon capture at source
Vendors gearing up for 800V DC adoption
Where to deploy AI training: a guide to the economics
Annual outage analysis 2026
As AI models improve, availability lags behind
Flagship servers push peak performance and lift efficiency
US data center critics pivot from moratoria to regulations
Modular data centers look to solve the challenges of AI
