Generative AI models brought about an influx of high-density cabinets. There has been much focus on how to best manage thermal issues, but the weight of power distribution equipment is a potentially overlooked concern.
Max Smolaks
Max is a Research Analyst at Uptime Institute Intelligence. Mr Smolaks’ expertise spans digital infrastructure management software, power and cooling equipment, and regulations and standards. He has 10 years’ experience as a technology journalist, reporting on innovation in IT and data center infrastructure.
msmolaks@uptimeinstitute.com
Latest Research
AI has a weight problem
Hardware for AI: what makes it different
Most operators will be familiar with the outrageous power and cooling demands of hardware for generative AI. Why are these systems so difficult to accommodate, and what does this mean for the future of data center design?
Douglas
Donnellan
Andy
Lawrence
Daniel
Bizo
Peter
Judge
John
O'Brien
Jacqueline
Davis
Max
Smolaks
Rose
Weinschenk
The 14th 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.
Global IT disruption highlights concentration, third-party risk
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iPDUs: a critical step for next generation efficiency
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The impact of AI on data center operations (Part I)
This report outlines the characteristics of machine learning (ML) applications, describes production use cases for ML-based software in data center M&O, and profiles several vendors offering AI-based functionality in their products.
UK prepares resiliency, cybersecurity legislation for colocation
Operators of data centers in the UK have voiced concerns over the proposed resiliency and cybersecurity regulations that are aimed specifically at providers of colocation and “co-hosting” services.
What is the role of AI in digital infrastructure management?
This update examines the differences between machine learning and traditional software development and outlines the terms and definitions that may help digital infrastructure operators to understand the role and impact of AI.
REPLAY | Webinar: Five Data Center Predictions for 2024
In this Webinar, the Uptime Intelligence team looks beyond the obvious trends of 2024 and identifies some of the latest developments and their associated limitations.
Five data center predictions for 2024
Uptime Intelligence looks beyond the more obvious trends of 2024 and identifies some challenging issues. Strong IT demand, high-density IT systems and tough sustainability requirements will drive a new wave of investment.
Data center management software is evolving — at last
A new approach to data center management, proposed by data scientists and statisticians, looks to augment the functionality of tools like BMS and DCIM software by focusing on data, not equipment.
What role might generative AI play in the data center?
The propensity to confidently give false information likely disqualifies generative AI from operational decision-making. However, this type of AI, with human supervision, could enhance other aspects of data center management.
The majority of enterprise IT is now off-premises
Findings from the latest Uptime Institute Global Data Center Survey show for the first time that the proportion of IT workloads hosted in on-premises data centers now represents slightly less than half of the total enterprise footprint.
Heat reuse: a management primer
Recovery of data center waste heat is garnering renewed interest for its sustainability credentials. This report investigates these initiatives and looks at their impact both on efficiency and cost.
Operators’ trust in AI drops
The Uptime Institute Global Data Center Survey 2023 shows that trust in artificial intelligence as a tool capable of making operational decisions has fallen sharply year on year. What is causing this reaction?
