Neoclouds continue to serve as shock absorbers for the AI infrastructure buildout, now more than ever. But Nvidia, lenders and customers have taken on more risk too — if demand falls, losses may no longer stop at the neoclouds.
A highly efficient AI deployment can still produce more carbon than an inefficient one if it runs on more carbon-intensive electricity. Cutting emissions means tackling energy per token and grid carbon intensity separately.
While AI headlines focus on training massive models, enterprises face a different challenge: where to run inference. Uptime Intelligence explores the economics, deployment options, and growing trend toward distributed AI infrastructure.
As AI rack power reaches hundreds of kilowatts, interest in DC power is growing. While DC can offer efficiency gains and a reduced footprint, it also introduces new challenges in protection, fault detection, grounding and worker safety.
Arc flash risks in data centers using 800V DC strongly depend on architecture — a research paper warns operators that they will need to update arc flash safety procedures to handle DC systems.
Giant data center power capacity and investment are at unprecedented levels, with power proposed in the first half of 2026 tracking at 2025 levels.
Redundant power and cooling equipment is expected to reduce outages — but by how much? Survey data shows that operators using 2N configurations were up to 64% less likely to report an outage than those using N.
AI data center projects often run into delays when developers encounter unfamiliar technologies and unexpected technical challenges. Taking a structured, methodical approach can help keep projects on track.
Meta's decision to give away its latest large language model challenges the narrative around AI infrastructure.
Uptime Institute's Annual Global Data Center Survey, now in its 16th year, is the most comprehensive and longest-running study of its kind. The findings in this report highlight the practices and experiences of data center owners and operators in…
AI-accelerated digital twins are central to many AI factory designs and builds. But despite progress in tackling specific power, cooling and IT challenges, most applications remain unproven beyond initial pilots and lack a clear return on investment.
Douglas Donnellan
Andy Lawrence
Daniel Bizo
Dr. Owen Rogers
Peter Judge
John O'Brien
Jacqueline Davis
Max Smolaks
Rose Weinschenk
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.
Data center waste heat does not significantly raise local temperatures, but concerns over the heat island effect demand a robust response that addresses monitoring and mitigation measures.
Results from Uptime Institute's 2026 Data Center Operations and AI Survey (n=867) focus AI training and AI inference workloads hosted in data centers, as well as how AI workloads are being deployed in terms of data center cooling systems and rack…
In this webinar, we outlined how to build a robust operations and management strategy for AI data centers in a time where extreme power densities, liquid cooling complexity, and rapid hardware refresh cycles demanded a fundamentally different…
Dr. Tomas Rahkonen
Chris Brown
Paul Carton
Anthony Sbarra
Laurie Williams
Madeleine Kudritzki