Poland led by the Baltic AI Giga Factory worth €3 billion

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Poland, together with Estonia, Latvia and Lithuania, has officially submitted to the European Commission a joint project to create the Baltic AI GigaFactory, a pan-European infrastructure for artificial intelligence with an estimated value of approx. EUR 3 billion.

The initiative was submitted at the end of August 2025 as part of the EU’s InvestAI programme, which aims to build high-performance computing gigafactories across the Union. The goal: to strengthen Europe’s digital sovereignty, reduce dependency on non-EU suppliers and support the development of local language models and generative AI applications.

Project in numbers

  • Total investment value: €3 billion.
  • Funding structure: 65% private capital + 35% EU and national funds.
  • Technology infrastructure: Up to 100,000 next-generation GPUs, with the ability to train models based on more than a trillion parameters.
  • Location: main interchanges in Poland (Warsaw, Gdańsk, Wrocław, Poznań, Krakow) and connected hubs in Tallinn, Riga and Vilnius.
  • Energy: sustainable food that ensures efficiency and compliance with the European Green Deal.

Impact on Europe and Poland

  • Regional leadership: Poland is strengthening its position as the nerve center of AI in Central Europe.
  • Transnational cooperation: the project strengthens the Polish-Baltic axis, creating a common research and innovation ecosystem.
  • Enterprise and start-up opportunities: Access to the global computing resources needed to develop competitive AI applications.
  • Alignment with EU priorities: sustainability, digitalisation and linguistic inclusion through local models such as PLLuM and Bielik.

Why this initiative is strategic

Baltic AI GigaFactory is not just a technological infrastructure: it is a symbol of Europe’s desire to assert its technological independence in a sector dominated by American and Chinese giants.

For European investors, policymakers and stakeholders, this project opens up a new season of opportunities: from industrial innovation to university research to AI-based government applications.

Source :  Core

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