Open Euro LLM aims to create open and independent AI models for European businesses. But for such initiatives to succeed requires more than just advanced algorithms.
AI is making rapid advances, and the European Union is now fully invested in the race. The Open Euro LLM initiative, which aims to create large, open and independent AI models for European businesses, received extensive media coverage as an ambitious project in which European companies and researchers are developing an open language model.
The objective is to provide European businesses with AI models that they own and control independently of the American technology giants. However, AI models alone are not enough to make Europe truly competitive. A stable, secure operating environment is also essential. AI companies need computing power, enhanced cybersecurity and an operational partner capable of managing the complexity of their AI models. Data security and integrity are also critical.
Secure environment
The creation of language models in Europe represents an important step toward digital independence. But this advance is only one part of the equation. Without robust, secure and scalable computing infrastructure, AI firms will be unable to grow and innovate as they should.
Without robust, secure and scalable computing infrastructure, AI firms will be unable to grow and innovate.
AI firms often struggle to manage the immense quantities of data involved and guarantee access to the necessary computing resources. While cloud providers such as Amazon Web Services, Google Cloud and Azure (Microsoft) are offering powerful solutions, these imply dependency on these companies’ proprietary ecosystems, limiting the degree of control European businesses have over the data and models.
In order for European AI companies to be fully autonomous, they need alternative infrastructure: a secure, reliable operating environment with a focus on cybersecurity.
Cybersecurity as a primary priority
Cybersecurity must be a priority from the outset in the process of developing AI models. These models process vast quantities of data, which makes them particularly vulnerable to cyberattacks.
To protect European AI requires a combination of technical expertise, intelligent infrastructure and a cybersecurity-led approach. This process must be integrated at every stage, from development to operation, and requires close collaboration between AI firms, IT operations providers and cybersecurity experts.
Sweden has the potential to become a leader in secure AI operations. It has modern data centres and top-tier cybersecurity expertise, as well as experience in managing critical IT infrastructure. The essential question is how to ensure that European AI is built on a solid and secure foundation, capable of protecting sensitive data while encouraging innovation and enabling European businesses to control their own technology.
12/15/2025
