From Cold War Broadcast Hub to AI Superpower, The Rise of Germany’s 30MW Polarise Data Center

Miao Zhang
7 minutes ago
7 min read

Artificial intelligence is reshaping global economies, but behind the algorithms and machine learning models lies a critical foundation, computing infrastructure. Across Europe, governments and private companies are accelerating investment in AI-focused data centers to secure technological independence and strategic control over digital systems. One of the most notable developments in this movement is a new artificial intelligence data center project planned by the German cloud and data infrastructure company Polarise.

The project, a 30-megawatt AI data center scheduled for launch in Bavaria by mid-2027, represents more than just a facility expansion. It reflects a broader geopolitical and technological shift toward digital sovereignty, sustainable infrastructure, and the race to build high-performance computing capacity capable of supporting next-generation AI workloads.

With the potential to expand to 120 megawatts and backed by renewable energy initiatives, the project could significantly reshape Germany’s domestic AI infrastructure landscape while contributing to Europe’s strategic technology ambitions.

Europe’s Strategic Push for AI Infrastructure Sovereignty

The rapid growth of artificial intelligence has intensified concerns about reliance on foreign-controlled computing infrastructure. For many European policymakers and industry leaders, the ability to run AI models on domestically controlled data centers has become a matter of economic resilience and national security.

At the end of last year, Germany’s AI-specific data center capacity stood at 530 megawatts, according to figures from the technology association Bitkom. However, a large share of that infrastructure was operated by companies based outside Germany. This imbalance has raised questions about long-term control over sensitive data, AI model training environments, and digital infrastructure.

Several factors are driving Europe’s push toward sovereign computing capacity:

Geopolitical tensions, including trade disputes and technological competition between major economies
Regulatory divergence, especially regarding online content governance and data privacy rules
Strategic autonomy goals, aimed at ensuring European control over key digital assets
Rising demand for AI computing, driven by large language models and enterprise automation

The Polarise project emerges within this broader context. By increasing domestically operated AI computing capacity, Germany aims to strengthen its position in the global AI ecosystem while reducing reliance on foreign hyperscale cloud providers.

The Polarise AI Data Center Project in Bavaria

Polarise plans to build the new AI data center in Amberg, Bavaria, approximately 76 kilometers west of Munich. The facility will initially offer 30 megawatts of computing capacity, with the potential to expand to 120 megawatts as demand grows.

The project involves the transformation of a historically significant site, the former Wertachtal shortwave transmission facility, once the largest shortwave broadcasting center in Europe. Built in 1969 ahead of the 1972 Munich Olympics, the facility operated from 1972 until 2013 and housed an extensive network of radio transmitters.

Key specifications of the original facility included:

Infrastructure Component	Capacity
Shortwave transmitters	14 × 500 kW
Radio transmitters	2 × 100 kW
Operational period	1972 – 2013

After demolition in 2014, the site was partially redeveloped for renewable energy generation, including a large photovoltaic installation. Polarise now plans to repurpose the location into a modern AI computing hub, marking a symbolic transition from analog broadcast infrastructure to advanced digital processing capacity.

Michel Boutouil, CEO of Polarise, highlighted the strategic vision behind the project:

“This project once again reflects our mission of building the AI infrastructure Germany needs to compete globally. It’s a major step forward, and just the beginning.”

Investment Scale and Financial Structure

Although the company has not disclosed the exact cost of the project, initial estimates suggest that the first development stage will require investment in the triple-digit million euro range.

This funding will cover essential infrastructure components such as:

Physical data center construction
Power distribution and cooling systems
Network connectivity infrastructure
On-site energy integration

Notably, the investment estimate does not include the cost of advanced AI chips, which can significantly increase total capital expenditure depending on the scale of GPU deployment.

Marc Gazivoda, Polarise’s marketing director, emphasized that the final investment amount depends heavily on customer demand:

“The final investment volume depends heavily on how many customers install their own servers or rent computing power.”

Unlike many large data center projects in Europe, the company confirmed that the facility will not receive state subsidies, making it a privately funded initiative supported by institutional investors.

Polarise’s Expanding AI Infrastructure Ecosystem

Polarise is rapidly positioning itself as a key infrastructure provider in Europe’s AI sector. The company already operates 13 data centers across Germany and international markets, offering services such as:

Bare metal infrastructure
Private cloud platforms
GPU-accelerated computing services

In addition to the Amberg facility, Polarise has been developing specialized AI Factory environments, designed to support large-scale machine learning workloads.

Recent developments include:

AI Factory in Munich, developed in partnership with Deutsche Telekom and Nvidia
AI Factory in Oslo, Norway, supporting high-performance computing deployments
Another facility in development near Frankfurt

The Munich AI facility is particularly notable because it was built by modernizing an existing data center previously used by HypoVereinsbank. Located in the Tucherpark business park, the facility incorporates water-based cooling using the Eisbach river, demonstrating innovative approaches to energy-efficient infrastructure.

Renewable Energy Integration and Sustainability Strategy

One of the defining features of the new AI data center is its integration with renewable energy systems. Data centers are among the most energy-intensive components of the digital economy, and the surge in AI workloads is dramatically increasing electricity demand.

At the Amberg site, Polarise is working with energy developer WV Energie AG to create a hybrid renewable power ecosystem.

The energy plan includes:

Ground-mounted photovoltaic installations, generating approximately 70 megawatts peak (MWp)
Additional solar capacity of 31 MWp under development
A 21 MW wind farm project
Battery storage systems for balancing intermittent energy supply

This integrated renewable infrastructure is designed to supply much of the data center’s electricity demand while stabilizing grid usage.

Heinrich Bettelhäuser, CEO of WV Energie AG, emphasized the synergy between energy transition and digital infrastructure:

“The use of renewable energy demonstrates that data centers and the energy transition are not in conflict. When combined thoughtfully, this project shows how both can actually strengthen each other.”

The renewable approach is especially significant as global energy prices remain volatile. Oil prices exceeding $100 per barrel have increased scrutiny of energy consumption in large computing facilities.

Comparing AI Data Center Scale Globally

To understand the scale of the Polarise project, it is helpful to compare typical capacities of major data centers operated by large technology companies.

Data Center Type	Typical Capacity
Small enterprise AI facility	10 – 20 MW
Polarise Amberg project	30 MW initial
Expanded Polarise capacity	Up to 120 MW
Hyperscale cloud facilities	100 MW or more

Major hyperscale operators such as global cloud providers often deploy facilities exceeding 100 megawatts, making the planned expansion of the Polarise site highly competitive within the European market.

Furthermore, Germany’s broader data center sector is expanding rapidly. Industry projections suggest that total data center capacity could approach 3,000 megawatts by 2025, with AI-specific infrastructure expected to grow even faster.

Bitkom forecasts that AI data center capacity in Germany could quadruple by 2030, reflecting surging demand for machine learning training and inference environments.

The Strategic Importance of AI Data Centers

Modern artificial intelligence systems require enormous computational resources, especially for training large models. The most advanced models can require thousands of GPUs operating continuously for weeks or months.

This makes high-performance data centers a strategic asset for national economies.

AI-optimized facilities typically require:

Massive GPU clusters
Advanced liquid or water cooling systems
High-bandwidth networking
Stable, high-capacity power supplies

These requirements create a significant barrier to entry, making infrastructure investment a key differentiator in the global AI race.

The Polarise project illustrates how Europe is responding to this challenge by building locally controlled compute environments capable of supporting advanced AI research and commercial deployment.

Investment Trends in the European Data Center Market

The Polarise expansion is also part of a broader investment wave in European digital infrastructure. The company recently received new financial backing, including a majority stake acquisition by the investment firm SWI Stoneweg Icona Group.

Earlier financing rounds involved infrastructure investors such as Macquarie, highlighting growing institutional interest in AI-related computing assets.

Several structural trends are driving this investment surge:

Explosion of AI model training workloads
Cloud adoption by enterprises and governments
Regulatory requirements for local data storage
Demand for high-performance GPU clusters

Together, these factors are transforming data centers from passive storage facilities into strategic AI production environments.

Challenges Facing AI Infrastructure Development

Despite rapid growth, the expansion of AI data centers faces several challenges.

Key issues include:

Energy availability, as AI workloads dramatically increase electricity demand
Cooling efficiency, especially as GPU clusters generate enormous heat
Supply chain constraints, particularly for advanced semiconductors
Environmental concerns, related to water use and energy consumption

Balancing these challenges while maintaining competitive infrastructure will be critical for Europe’s digital future.

Projects like the Polarise facility demonstrate that integrating renewable energy and efficient cooling technologies may provide a path forward.

Conclusion

The planned Polarise AI data center in Bavaria represents an important milestone in Europe’s evolving digital infrastructure strategy. With an initial capacity of 30 megawatts and expansion potential reaching 120 megawatts, the facility could significantly strengthen Germany’s domestically controlled AI computing capacity.

By combining renewable energy integration, strategic investment, and advanced computing infrastructure, the project reflects a broader shift toward technological sovereignty in an increasingly competitive global AI landscape.

As artificial intelligence continues to reshape industries, the race to build scalable, energy-efficient, and sovereign computing infrastructure will likely define the next decade of digital transformation.

For readers seeking deeper insights into global technology trends, emerging infrastructure developments, and the strategic implications of AI innovation, the expert research team at 1950.ai regularly publishes analytical perspectives on these topics. Explore more expert commentary and analysis from Dr. Shahid Masood and the researchers at 1950.ai to stay informed about the technologies shaping the future.