The expansion comes less than a year after the Industrial AI Cloud began operating at Munich's Tucherpark in February 2026. According to Deutsche Telekom, its initial deployment increased Germany's available AI computing capacity by 50%, but customer demand filled that capacity within approximately seven months. The company had already started planning additional infrastructure in May.
The new hardware is intended to support computationally demanding applications, including training and running large AI models, advanced reasoning, and autonomous AI agents. Industrial customers can also use the infrastructure for digital twins, robotics development, and simulations of manufacturing processes.
Deutsche Telekom says its systems allow companies to evaluate how machinery, robots, and production environments behave under realistic conditions using virtual models. According to the company, some simulations that previously required weeks or months can now be completed within hours.
Several major industrial companies are already using the platform. Siemens and Daimler Truck are among its customers, alongside Currenta, Synopsis, Agile Robots, Wandelbots, PhysicsX, Noxtua, EDAG, and Soofi. Their applications span industrial automation, robotics, engineering simulations, and AI model development.
The facility also supports language model development, including training for Soofi, a German-language AI model. Nvidia's open Nemotron model is another example of the AI technology running on the infrastructure. Depending on their requirements, customers can access Nvidia's CUDA-X software and Omniverse tools for simulation and other industrial workloads.
Deutsche Telekom is emphasizing European control over AI infrastructure as a central part of the investment. The company says its platform is designed to meet regional requirements for data protection, security, and data management, allowing organizations to develop and operate AI systems within a European environment.
“Germany must not only be a user of AI; it must also create value and prosperity itself,” Höttges said.
The announcement drew support from German government officials, including Federal Digital Minister Karsten Wildberger and Economy Minister Katherina Reiche. Reiche said the expansion would bring the facility to 20,000 graphics processing units, highlighting the importance of domestic computing infrastructure for German manufacturers.
Wildberger also indicated that processors from Dresden-based startup Sparxity could eventually be incorporated into the facility, further supporting efforts to develop European technology capabilities.
Siemens CEO Roland Busch described industrial AI as a major opportunity for Germany's manufacturing sector, arguing that combining established industrial expertise with advanced computing could support new products and business growth.
“Industrial AI is the opportunity of the century—for our customers, industry, and our entire country,” Busch said.
Energy efficiency is another focus of the project. Deutsche Telekom reports that its Munich facility operates with a power usage effectiveness rating of 1.2, a measurement of how much electricity a data center consumes beyond the energy used directly by its computing equipment.
According to the company, the facility requires less than 1.2 kilowatt-hours of total electricity for every kilowatt-hour consumed by its IT systems. The data center operates using renewable energy and draws cooling water from the nearby Eisbach. Plans also call for recovering waste heat to supply heating across the Tucherpark district.
The expansion comes as the electricity requirements of AI infrastructure attract greater political attention. German officials have emphasized the importance of supporting new computing facilities, while concerns about data center energy consumption have also featured in recent political debates in the United States.
Deutsche Telekom is already considering another expansion in Bavaria with potential partners. The company says discussions are progressing but has not approved a further investment. Any additional development would depend on securing financing and establishing commercially sustainable operating conditions.
For now, the Munich expansion will increase the computing resources available to Deutsche Telekom's industrial customers while extending the company's use of Nvidia's latest AI hardware. The investment reflects demand from businesses moving beyond experimental AI projects toward applications involving manufacturing, robotics, and large-scale model deployment.
This analysis is based on reporting from Deutsche Telekom.
Image courtesy of Unsplash.
This article was generated with AI assistance and reviewed for accuracy and quality.
