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.
Pressure to improve data center efficiency and sustainability is driving interest in artificial intelligence (AI) technologies. Several startups aim to deliver new capabilities in IT power management and cooling optimization.
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.
Despite high expectations, most operators will only see moderate impact from specialized AI hardware installations in the immediate future. The emergence of AI as a major force will sway the industry in a more profound, but less direct, fashion.
Thermal trends in server silicon will challenge assumptions that underpin efficiency and sustainability expectations around DLC. Limited visibility of future server cooling requirements means operators can only make an educated guess.
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 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?
The topic of artificial intelligence (AI) has captured the public’s imaginations, and now barely a week goes by without reports of another breakthrough. Among the many, sometimes dramatic predictions made by experts and non-experts alike is the poten...
The Uptime Institute Cooling Systems Survey 2023 collects data on experiences with Direct Liquid Cooling from data center operators, as well as their objectives and concerns.
Low latency is the main reason cloud providers offer edge services. Only a few years ago, the same providers argued that the public cloud (hosted in hyperscale data centers) was suitable for most workloads. But as organizations have remained steadfas...
Data center operators and IT tenants have traditionally adopted a binary view of cooling performance: it either meets service level commitments, or it does not. The relationship is also coldly transactional: as long as sufficient volumes of air of th...
Prolonged supply chain difficulties, high energy prices, and sweeping sustainability mandates — the digital infrastructure sector had its plate full in a tumultuous 2022. But new uncertainties abound that add more risk to operations and business comp...
Standard IT hardware was a boon for data centers: for almost two decades, mainstream servers have had relatively constant power and cooling requirements. This technical stability moored the planning and design of facilities (for both new builds and r...
A debate has been raging since cloud computing entered the mainstream: which is the cheaper venue for enterprise customers — cloud or on-premises data centers? This debate has proved futile for two reasons. First, the characteristics of any specific ...
This report examines multiple applications of AI and automation within data center infrastructure management (DCIM) software. Greater automation can result in improved efficiency and free up staff to focus on more complex tasks.
Max Smolaks
John O'Brien
Daniel Bizo
Douglas Donnellan
Jacqueline Davis
Owen Rogers