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.
As operators deploy cold plate and immersion cooling, the cost or operational efficiency benefits are bound to disappoint. DLC alone will not bring the breakthrough in energy or sustainability performance the industry needs.
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.
New survey data allows Uptime Institute to look at industry power usage effectiveness (PUE) in finer detail. Comparing PUE by compute capacity shows that, on average, larger sites have lower PUEs.
The thresholds set by Germany’s Energy Efficiency Act could make many legacy enterprise data centers obsolete — or else require operators to upgrade or move to compliant facilities
The final publication of the approved EED means that data center operators will need to undertake internal efforts to comply with energy management system and data reporting requirements.
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.
Gigantic “gigawatt” data center campuses are being proposed or planned in many locations around the world. They could change the digital infrastructure landscape, but many questions — including how many will be built — remain.
Executives in many industries have been bold with their sustainability claims, setting ambitious net-zero goals and heralding minor successes. For digital infrastructure, as elsewhere, a painful and expensive correction is coming.
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.
Unpredictable costs and “bill shocks” are a growing problem for organizations running their applications and workloads in the public cloud. FinOps could help enterprises analyze, report and optimize cloud and other IT costs.
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?
Over the next decade, digital infrastructure operations will need to comply with an emerging set of regulatory requirements. Managers can smooth the path to compliance by focusing on business processes and data collection.
Attitudes to critical infrastructure regulation vary across the world, with the regulators and the regulated mostly agreeing about the goal, role and application of new rules. The US, however, remains an outlier.
Max Smolaks
Daniel Bizo
Jacqueline Davis
John O'Brien
Jay Dietrich
Andy Lawrence
Douglas Donnellan