Electric grids face serious issues largely because of national efforts to reduce carbon emissions and boost electrification. Data center growth will add to these problems β but unreliable data could lead to poor decision-making.
Preliminary calculations by Uptime Intelligence suggest the initial impact of generative AI on global data center power use is low β but it will rise quickly as adoption increases. How far generative AI will go remains unclear.
The US Energy Information Administration has obtained an order requiring cryptocurrency mining operations to report their energy use. It is likely that traditional data centers will also be required to report energy consumption in 2024.
Data center budgets are expected to increase in 2024 for most organizations, but ongoing supply chain issues and staffing challenges may restrict investments, according to recent Uptime Intelligence survey data.
New EU legislation will raise recycling and reporting standards for batteries, regardless of chemistries. Although motivated by battery use in electric vehicles, the regulations also place obligations on data center operators.
There is more to managing server power than just conserving energy when the machine is idle. Another side to optimizing energy performance involves setting processor performance levels appropriate for the application.
Without the active contribution from IT, data center infrastructure energy performance and sustainability will fall short of aspirations. Server power management features remain unexplored and underused by most efficiency initiatives.
Operators are missing opportunities to lower costs and energy use by not using utilization and power management data, an Uptime Intelligence survey on IT and power efficiency suggests.
Germanyβs Energy Efficiency Act makes a PUE of 1.2 mandatory for all new data centers starting in 2026. This has reignited a debate: can a data center be both highly available and highly efficient?
Large colocation and public cloud companies have been growing strongly and very publicly, but enterprises continue to add data center capacity too, Uptime Intelligence data shows.
The latest Uptime Intelligence research agenda includes a list all published and planned reports from January 2024 to October 2024, and is focused on Uptime Intelligence primary coverage areas: 1) power generation, distribution, energy storage; 2)β¦
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.
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.
This Q&A brings together questions and answers from a webinar on the transactions per megawatt hour metric. Topics include power management, server refresh and sustainability, GHG emissions, IT metrics and utilization rates.
Improving data center infrastructure energy efficiency is vital in helping organizations contain costs and carbon emissions that result from IT growth. This report compares seven projects using a data- and experience-based model.