Swedish EcoDataCenter has secured €600 million in debt financing from Deutsche Bank Private Credit and Infrastructure to enable further growth and continue driving progress in advanced digital infrastructure.
EcoDataCenter is an operator and European leader in high-performance digital infrastructure, serving the most demanding cloud and AI applications. Founded in 2014, the company designs, builds, and operates state-of-the-art facilities that combine technological excellence with one of the lowest carbon footprints in the industry.
Peter Michelson, CEO of EcoDataCenter, shared:
AI infrastructure is a new base industry, and we are building one of Europe’s most exciting companies in the sector. We are proud of the trust placed in us and look forward to continuing our journey toward becoming Europe’s leading player in high-performance data centres.
EcoDataCenter has rapidly emerged as a leader in digital infrastructure. In 2024, the company entered a collaboration with AI hyperscaler CoreWeave to build one of Europe’s largest AI clusters in Falun. Shortly thereafter, it acquired the Kvarnsveden paper mill in Borlänge to establish additional data centre capacity. Since 2023, EcoDataCenter and its owner, Areim have secured a total of approximately €1.8 billion in financing.
The new capital will primarily be used to continue the expansion of the Falun and Borlänge campuses.
Johan Rydmark, CFO of EcoDataCenter, commented:
Our platform attracts partnerships with world-leading companies, and we have a proven ability to deliver the scale and flexibility our customer’s demand. The fact that we can attract financing of this magnitude is a testament to the strength of our business model and the confidence the market has in our team and strategy. Now it’s full speed ahead.
EcoDataCenter launched its first facility in Falun in 2019 and has since expanded with data centres designed for high compute capacity. Its technological expertise and commitment to sustainable development have attracted the trust of global clients, including BMW, DeepL, and CoreWeave.
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