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

  • October 7, 2024
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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 computing capacity, according

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 computing capacity, according to a report.

Data centers in the EMEA region can dramatically reduce their energy consumption by deploying hyperconverged infrastructure (HCI), resulting in 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 of 4.1 million cars. The savings come from improved energy efficiency and the use of on-demand computing capacity in the cloud. Additionally, transitioning to HCI can result in annual energy savings of 27 percent compared to traditional data center architectures.

The pressure on data centers is increasing

Due to increasing digitalization after the Corona pandemic and the growth of data-driven technologies such as AI and IoT, the energy demand in data centers is increasing rapidly. Rising energy costs and stricter regulations regarding environmental impacts increase the challenges for data center operators.

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

The report goes on to say that a migration to cloud-based HCI solutions could have an even greater impact. This move could result in 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.

Source: IT Daily

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