LATEST INTELLIGENCE
REDUCING DATA CENTER COST AND ENVIRONMENTAL IMPACT BY
DEPLOYING SIX EFFECTIVE CABINET AIRFLOW MANAGEMENT MEASURES
PRESENTED BY
eExecutive summary
Data center owners and operators are under unprecedented pressure to improve energy efficiency . Explosive growth in online applications and generative AI workloads are forcing them to build new capacity at an accelerated rate and utilize energy faster than ever before . Consider these statistics :
• North America sees 70 % jump in data center supply in construction . CBRE report says | Reuters
• According to Goldman Sachs , AI alone is expected to drive a 160 % increase in data center power demand by 2030 , as a single ChatGPT query draws 10 times
Download whitepaper here as much electricity to process as a Google search .
• Data centers are putting enormous demands on national grids . In 2022 , data centers accounted for more than 4 % of U . S . electricity use . According to an International Energy Agency report , that number is expected to climb to 6 % in 2026 .
This level of power consumption exacerbates the already heavy burden on data center owners and operators to control costs , meet global environmental standards , and help businesses reduce their environmental footprints .
Inefficient power utilization makes these problems worse .
There has never been a greater need for well-designed and maintained data center infrastructures . Airflow management and optimization are key to any data center energy efficiency improvement project .
After reading this white paper , you will have a better understanding of six effective measures every data center owner or decision-maker must consider when deploying IT cabinets to boost energy efficiency . Some of these measures are straightforward but somewhat unknown . Others are highly innovative .
All these measures prevent the mixture of hot and cold air flows at the cabinet level , mitigating wellknown issues , including bypass and recirculation airflows . Minimizing these problems , at scale , is vital to optimizing data center energy efficiency .
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