AI’s growth calls for useful IT efficiency metrics
The digital infrastructure industry is under pressure to measure and improve the energy efficiency of the computing work that underpins digital services. Enterprises seek to
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The digital infrastructure industry is under pressure to measure and improve the energy efficiency of the computing work that underpins digital services. Enterprises seek to
AI training at scale introduces power consumption patterns that can strain both server hardware and supporting power systems, shortening equipment lifespans and increasing the total
AI has pushed data center thermal loads to levels the industry has never encountered. Racks that once operated comfortably at 8-15 kW are now climbing
Colocation providers may offer two pricing and packaging models to sell similar products and capabilities. In both models, customers purchase space, power and services. However,
The conversation around data center performance is changing. Investors, analysts, and several global operators have begun asking a question that PUE cannot answer, how much
The training of large generative AI models is a special case of high-performance computing (HPC) workloads. This is not simply due to the reliance on
Amazon’s Chief Executive, Andy Jassy, recently told investors that the company could significantly increase its sales if it had more data centers. Jassy explained that
The pursuit of training ever-larger generative AI models has necessitated the creation of a new class of specialized data centers — facilities that have more
In recent years, the environmental sustainability of IT has become a significant concern for investors and customers, as well as regulatory, legislative and environmental stakeholders.
Each new generation of server silicon is pushing traditional data center air cooling closer to its operational limits. In 2025, the thermal design power (TDP)