New flagship AMD and Intel servers with high core counts push performance boundaries while improving efficiencies. This report breaks down and visualizes improvements based on an analysis of SERT data.
AI workloads are forcing operators to rethink cooling infrastructure. As power constraints intensify, thermal energy storage is gaining renewed attention as a way to shift cooling demand, reduce peak load and increase usable IT capacity.
AI data centers are racing ahead, but the grid isn't keeping up: operators need to rethink how they connect to, generate and manage energy to unlock expansion without overwhelming already strained generation and transmission systems.
Consensus and confusion in liquid cooling maintenance
Interactive AI token energy and carbon tool
Interactive AI training venue costing tool
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
Dry cooling energy performance can rival evaporative cooling
Investments back two-phase cooling as water cold plate successor
Next-gen GPUs may not need chillers — but data centers do
Emerging tech: carbon capture at source
Vendors gearing up for 800V DC adoption
Ireland's new grid rules signal shift in data center roles
Where to deploy AI training: a guide to the economics
Annual outage analysis 2026
As AI models improve, availability lags behind
US data center critics pivot from moratoria to regulations
Modular data centers look to solve the challenges of AI
IT-OT telemetry failings are hindering real-time applications
