Northern Data Group (ETR:NB2), a leading provider of AI and High-Performance Computing (HPC) solutions, today released its audited financial results for the fiscal year ended December 31, 2025. The 2025 Annual Report, which has been audited by Stuttgart-based Liebhart & Kollegen, is now available in the Investor Relations section of the company's website under Publications.
The announcement underscores Northern Data's position as a key player in the rapidly expanding AI infrastructure market. The company operates Taiga Cloud, which boasts one of the largest GPU clusters in Europe, and its Ardent Data Centers division has approximately 250MW of power deployed or coming online across ten global data centers by 2027. This capacity is critical as demand for high-density, liquid-cooled GPU-based technology surges among enterprises and research institutions.
The audited results provide transparency and credibility to investors, as the company continues to scale its operations. Northern Data focuses on full-stack AI and HPC solutions, leveraging cutting-edge chips and hardware to deliver maximum performance and efficiency. The company's partnerships and access to advanced technology enable it to support innovative companies in sectors ranging from artificial intelligence to scientific research.
The release of the 2025 Annual Report comes at a time when the AI industry is experiencing exponential growth, with businesses increasingly relying on HPC for complex computations and model training. Northern Data's infrastructure investments position it to capture a significant share of this market. The company's strategy includes expanding its data center footprint and enhancing its GPU cluster capabilities to meet rising demand.
Investors and stakeholders can access the full report on the company's website. For further information, the company's Investor Relations team, led by Vice President Jose Cano, can be contacted via email at ir@northerndata.de. The company cautions that forward-looking statements in the release involve risks and uncertainties, and actual results may differ materially.
