Europe's AI factory is located in Munich, and a robot from Agile ONE presses the start button

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Published on: February 19, 2026 / Updated on: February 19, 2026 – Author: Konrad Wolfenstein

Europe's AI factory is located in Munich and a robot from Agile ONE presses the start button – Creative image: Xpert.Digital

A challenge to China & the USA: Europe's first "Industrial AI Cloud" goes online – with a surprising star guest

One billion euros, 10,000 GPUs, and the question of whether Europe will wake up in time to the global AI race

On February 4, 2026, a data center was commissioned in Munich's Tucherpark that represents far more than just a technical installation. The Industrial AI Cloud, a joint project of Deutsche Telekom and NVIDIA with an investment volume of around one billion euros, is Europe's first cloud infrastructure designed exclusively for the requirements of industrial artificial intelligence. The symbolic launch was performed not by a politician or a CEO, but by Agile ONE, the first humanoid robot from the Munich-based company Agile Robots, which is also one of the first customers of this new platform. Vice Chancellor and Federal Finance Minister Lars Klingbeil observed the ceremony on site, thereby underscoring the political support for the project. What at first glance appears to be a cleverly staged PR moment actually marks a structural turning point for European industrial policy in the age of artificial intelligence.

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Anatomy of an AI factory: What lies behind the infrastructure

The heart of the Industrial AI Cloud consists of approximately 10,000 NVIDIA Blackwell GPUs, including more than a thousand DGX B200 systems and RTX PRO servers, which together achieve a maximum computing power of up to 0.5 exaFLOPS. This capacity was previously only known from the hyperscale data centers of American and Chinese technology companies. The data center in Tucherpark was completely renovated and converted for its new purpose within just six months, a remarkably short timeframe considering the typical planning and approval processes in Germany. The fact that the facility was already more than a third full at launch indicates that there is real demand and that it is not merely a prestige project.

The technological architecture, however, goes far beyond mere computing power. A comprehensive software stack runs on the hardware platform, integrating NVIDIA AI Enterprise, NVIDIA Omniverse for digital twins, and the CUDA-X acceleration libraries. Combined with Deutsche Telekom as the operator and T-Systems as the cloud service provider, this creates a seamless platform that extends from the GPU level to specialized industrial applications. SAP contributes the so-called Germany Stack with its Business Technology Platform, offering companies a fully sovereign software toolkit where operations, data storage, and security concepts are entirely located in Germany. Thomas Saueressig, a member of the SAP Executive Board, succinctly summarizes the ambition: It's time to shift the narrative from risk to opportunity.

Digital sovereignty as an industrial policy imperative

The strategic relevance of the Industrial AI Cloud can only be understood against the backdrop of the global shift in power within the AI sector. The United States, with its Stargate initiative, has announced plans to mobilize $500 billion for AI infrastructure. China is promoting the widespread application of large-scale AI models as a declared state doctrine. Europe lags significantly behind in terms of investment, computing capacity, and the number of data centers. The European Commission responded with the InvestAI initiative, which aims to mobilize €200 billion and build up to five AI gigafactories, each with more than 100,000 accelerators. In this context, the Industrial AI Cloud is the first tangible result of the Made for Germany initiative, launched in November 2025, and was explicitly positioned as a political signal at the Berlin announcement event.

Tim Höttges, CEO of Deutsche Telekom, emphasized the private-sector nature of the project. The AI factory was built without government subsidies. This fundamentally distinguishes it from most European infrastructure projects and underscores that the market itself is willing to invest in sovereign capacity, provided the framework conditions are right. Jensen Huang, founder and CEO of NVIDIA, placed the initiative in a historical context, describing it as the beginning of a new phase of growth and innovation for Germany and defining AI data centers as the modern version of factories that produce not consumer goods, but intelligence.

The urgency of this approach is underscored by a structural weakness in Europe. Many companies, particularly security-conscious SMEs, hesitate to adopt AI because they fear the outflow of sensitive production and business data to non-European cloud providers. The Industrial AI Cloud addresses precisely this concern by ensuring that all data remains under European jurisdiction and that the entire value chain, from hardware to the application layer, complies with European standards.

The ecosystem: From Siemens to medium-sized businesses

The platform's industrial relevance is evident in the breadth of its early adopters. Siemens will run its Simcenter simulation portfolio on the Industrial AI Cloud, enabling companies to fully develop, test, and optimize products virtually. Cedrik Neike, CEO of Digital Industries at Siemens, emphasizes that GPU-accelerated calculations in the sovereign cloud will drastically reduce customer simulation times. Mercedes-Benz and the BMW Group plan to conduct highly complex simulations with AI-powered digital twins to significantly accelerate their development processes for new vehicles. Wandelbots will run its NOVA platform in the cloud to modernize factories using digital twins.

For small and medium-sized enterprises (SMEs), democratizing access is particularly important. High-performance computers of this category were previously only available to large corporations and research institutions. Cloud-based deployment significantly lowers the barriers to entry and enables even the industrial SMEs, which form the backbone of the German economy, to use advanced AI tools. Another flagship project is SOOFI, an open European language model with around 100 billion parameters, which is to be trained and operated entirely in Europe and was commissioned by Leibniz University Hannover.

Agile Robots and Agile ONE: From the DLR laboratory to the global robotics platform

The fact that a humanoid robot was the one to activate the Industrial AI Cloud was more than just symbolic. Agile Robots, founded in 2018 as a spin-off from the German Aerospace Center (DLR) by Dr. Zhaopeng Chen and Peter Meusel, has transformed itself in just a few years from a research spin-off into one of Europe's leading robotics companies. Its growth figures are impressive: revenue doubled several years in a row, most recently reaching around €200 million, with the company aiming for €1 billion in revenue in the medium term. More than 20,000 robotics solutions have been installed worldwide, the number of employees has grown to over 2,300, and total funding has exceeded US$350 million, led by SoftBank Vision Fund 2, the Abu Dhabi Royal Group, Sequoia Capital China, and strategic investors such as the Xiaomi Group and Foxconn.

A valuation of over one billion US dollars made Agile Robots the only unicorn in the global robotics segment, a distinction the company has held since its Series C funding round in 2021. Its Munich headquarters serves as a research and development center with a team of over 1,000 robotics and AI experts, while production takes place at multiple locations in Germany and internationally. In 2024 alone, the company invested 80 million euros in its German operations, including a new research lab in Munich.

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Physical AI: Why the next tech revolution isn't happening on the screen

Agile ONE: Anatomy of an Industrial Humanoid

This robot has the most skillful hands in the world and is learning in Germany

First unveiled in November 2025, Agile ONE embodies the next evolutionary stage of Physical AI, that is, the class of AI systems that do not operate in digital spaces but interact directly with the physical world. Measuring 174 centimeters in height, weighing 69 kilograms, and with a payload capacity of 20 kilograms, the robot moves through industrial environments at speeds of up to 7.2 kilometers per hour, comparable to a briskly walking human.

The unique technological feature lies in the hands. Agile Robots claims to have the world's most skillful robotic hands, a legacy of DLR research, where Chen and Meusel once developed robotic hands for space travel, one of which now operates on the Chinese space station. Each of the five fingers has fingertip sensors and force-torque sensors in every joint, enabling the robot to perform both delicate and powerful tasks with high precision. Applications include material handling, pick-and-place operations, machine operation, tool use, and fine manipulation.

Beneath the surface lies a multi-layered AI architecture, which Agile Robots describes as a groundbreaking approach to humanoid intelligence. Each layer specializes in a specific level of cognition and control: strategic thinking and task planning, rapid reaction, and fine motor precision. The underlying Robotic Foundation Models are trained on one of Europe's largest real-world industrial datasets, supplemented by simulated data and information from human interactions. This training is now massively accelerated by the computing power of the Industrial AI Cloud, as the cloud enables the generation and curation of complex datasets on an unprecedented scale.

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Physical AI: The economic dimension of a new class of technology

The market for physical AI is still in its early stages, yet growth forecasts are exceptional. Current market analyses estimate the global volume at around US$5.4 billion in 2025 and predict an increase to over US$61 billion by 2034, representing an average annual growth rate of approximately 31 percent. Morgan Stanley, in its long-term forecast for the humanoid robotics market, even anticipates a potential of US$5 trillion by 2050. While these figures may seem speculative, they reflect the fundamental conviction within the investment community that the convergence of AI and physical automation represents the next major wave of transformation in the global economy.

This development is of vital importance for Europe's industrial base. The International Federation of Robotics recorded 542,000 new industrial robot installations worldwide in 2024, with Asia accounting for the lion's share at around 74 percent. Europe is already losing market share in traditional robotics. In Physical AI, which goes far beyond traditional robotics and combines generalizable foundation models, sensors, and edge computing, the coming years will determine whether Europe plays a significant role or is relegated to the role of a mere technology recipient.

Critical assessment: Strengths and risks of the project

The Industrial AI Cloud is undoubtedly a strategically important step, but a sober analysis must also acknowledge its limitations. With up to 10,000 GPUs, the facility is impressive, but it falls significantly short of the scale of American hyperscalers, which are already deploying hundreds of thousands of accelerators in individual projects. The EU, with its gigafactories, is planning facilities with over 100,000 AI chips each. The Industrial AI Cloud is therefore an important start, but not yet on par with its global competitors.

Another risk lies in the dependence on NVIDIA as the sole chip supplier. While the cloud ensures European data sovereignty, technological sovereignty regarding hardware remains limited. Geopolitical upheavals, export controls, or supply bottlenecks could affect the operation and scaling of the facility. Europe's own high-performance chip production is still in its early stages.

Agile Robots' ownership structure also warrants a more nuanced examination. Despite its German headquarters and DLR roots, the company's shareholders include prominent Chinese investors such as Sequoia Capital China, Xiaomi, and Foxconn. CEO Chen emphasizes that the company's roots lie in Germany and that its largest investor is from Japan, but in a time of growing geopolitical tensions and stricter regulations on foreign investments, this constellation will be closely watched.

What Munich reveals about the state of European industrial policy

The commissioning of the Industrial AI Cloud in Munich's Tucherpark brings together several megatrends into a single event: the rise of Physical AI as a new technology class, the growing urgency of European digital sovereignty, the transformation of German industry through AI-supported processes, and the proof that private sector initiatives in Europe can act faster and more decisively than government programs. The fact that the data center's waste heat will supply the entire Tucherpark district with heat and that the nearby Eisbach stream will be used for cooling illustrates a typically European approach that combines performance with sustainability.

Christian Piechnick, CEO of Wandelbots, already stated the uncomfortable truth when the project was announced: "Made in Germany" is no longer a quality criterion; Germany has become too slow, too expensive, and too inflexible compared to other countries, and AI in production is the key to quickly catching up. The Industrial AI Cloud provides the necessary infrastructure. Whether Europe seizes this opportunity ultimately depends not on the computing power in the basement of a Munich office complex, but on the speed with which companies, regulators, and society as a whole are willing to understand AI not as a threat, but as a tool for industrial renewal.

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