A report by Uptime's Sustainability and Energy Research Director Jay Dietrich merits close attention; it outlines a way to calculate data center IT work relative to energy consumption. The work is supported by Uptime Institute and The Green Grid.
Direct liquid cooling challenges the common “line of demarcation” for responsibilities between facilities and IT teams. Operators lack a consensus on a single replacement model—and this fragmentation may persist for several years.
The European Commission has proposed a data center rating scheme/label that is broadly scoped and highly detailed. The label needs to focus on a few key indicators including three meaningful IT infrastructure metrics.
Join Uptime experts as they discuss and answer questions on grid demands and sustainability strategies while debating how to meet decarbonization goals. This is a member and subscriber-only event.
In this session, we explored how these principles of data center operations were applied to support, sustain, and enhance the skills of people supporting the infrastructure.
Cybersecurity has traditionally not been a key focus of attention for data center operators. But cyber incidents are on the rise and concerns are growing. Unaddressed vulnerabilities leave operators at increasing risk from evolving threats.
Although the share of processing handled by the corporate or enterprise sector has declined over the years, it has never disappeared. But there are signs that it may reclaim a more central role.
For the past 15 years, the case for moving workloads out of enterprise data centers and into the cloud and colocation has been strong. Power availability and demand for high-density capacity may change that.
Human error is an increasingly exploited weakness by cyberattackers, leading to data center security breaches and greater risk for enterprises and operators.
To meet the demands of unprecedented rack power densities, driven by AI workloads, data center cooling systems need to evolve and accommodate a growing mix of air and liquid cooling technologies.
Today, GPU designers pursue outright performance over power efficiency. This is a challenge for inference workloads that prize efficient token generation. GPU power management features can help, but require more attention.
The 15th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in the areas of resiliency, sustainability, efficiency, staffing, cloud and AI. The attached data files…
The past year warrants a revision of generative AI power estimates, as GPU shipments have skyrocketed, despite some offsetting factors. However, uncertainty remains high, with no clarity on the viability of these spending levels.
As AI workloads surge, managing cloud costs is becoming more vital than ever, requiring organizations to balance scalability with cost control. This is crucial to prevent runaway spend and ensure AI projects remain viable and profitable.
We hosted an exclusive briefing on the Uptime Institute Network — the global community of data center leaders dedicated to improving operational resilience, efficiency, and strategic planning.
Andy Lawrence
Jacqueline Davis
Jay Dietrich
Max Smolaks
Jay Paidipati
Peter Judge
Madeleine Kudritzki
Rose Weinschenk
John O'Brien
Tomas Rahkonen
Paul Carton
Anthony Sbarra
Laurie Williams
Daniel Bizo
Owen Rogers
Matt Stansberry
Scott Killian