Energy-efficient data centers could save up to 25 billion euros by 2030

Energy-efficient data centers could save up to 25 billion euros by 2030

According to a report, data centers could save up to 25 billion by 2030, thanks to improved energy efficiency, the move to cloud solutions and the use of on-demand compute capacity.

Data centers in the EMEA region can dramatically reduce their energy consumption by using hyperconverged infrastructure (HCI), leading to both financial savings and a reduction in carbon emissions. According to a report by Atlantic Ventures and Nutanix, this could save 25 billion euros by 2030.

CO2 emissions

The Improving Sustainability in Data Centers 2024 report highlights that data centers can reduce their carbon emissions by 19 million tons over the next six years. This is comparable to the emissions from 4.1 million cars. The savings result from improved energy efficiency and the use of on-demand computing capacity in the cloud. In addition, the transition to HCI could result in annual energy savings of 27 percent over traditional data center architectures.

Pressure on data centers increases

With increasing digitalization following the corona pandemic and the growth of data-driven technologies such as AI and IoT, the demand for energy in data centers is increasing rapidly. Rising energy costs and stricter regulations regarding environmental impacts increase the challenges for data center managers.

Sammy Zoghlami of Nutanix emphasizes the importance of energy efficiency in data centers, which are responsible for a significant portion of energy consumption. In the EMEA region alone, data centers use more than 98 TWh of energy, comparable to the total consumption of a country like Belgium.

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Energy-efficient data centers could save up to 25 billion euros by 2030

The report further states that a migration to cloud-based HCI solutions can have an even greater impact. This move can yield energy savings of up to 54 percent, thanks to the low Power Usage Effectiveness (PUE) of public cloud providers and the efficiency of on-demand computing.