Digital sovereignty depends, among other things, on regional cloud operators, but they must have modern infrastructures adapted to the technical requirements of AI.
According to an Accenture study, 62% of organizations (55% in France) in Europe are seeking sovereign artificial intelligence solutions in response to current geopolitical uncertainties. Governments and businesses want to ensure that AI systems operate in accordance with existing and future regional standards for governance, security and economic competitiveness.
However, sovereignty is not limited to political frameworks. It also depends on the capabilities of the European cloud ecosystem to have modern IT infrastructures suitable for processing large-scale AI workloads.
The challenge no longer lies in AI models but in infrastructure
Much of the global debate on AI has focused on the development of increasingly powerful AI models, for example: large language models (LLM) or vision-language models (VLM). However, in the long term, the power of AI will rather depend on its massive deployment and its technical consequences. AI systems are already at the heart of customer service tools, industrial automation and logistics networks, and their adoption is accelerating in industries such as finance and healthcare. As these systems are deployed into production environments, they must operate continuously and reliably within large-scale infrastructures.
This evolution places new demands on the IT platforms that underpin cloud environments. Running modern AI workloads requires infrastructure that can deliver high performance, predictable scalability, and the efficiency required to support large volumes of inference queries. For many European organizations, the central question is no longer who builds the models, but where these systems can operate safely and consistently at scale.
The growing role of regional cloud operators
Europe already has a growing ecosystem of regional cloud service providers supporting businesses and public sector organizations. These providers play an important role in providing infrastructure environments that comply with European regulatory frameworks and operational requirements. They also enable businesses to run workloads locally when hosting, security, or data operations considerations require it. Regional cloud providers will therefore play an increasingly important role for companies wishing to exploit artificial intelligence on European infrastructure.
Equipping regional clouds with modern AI infrastructure
The next challenge lies in the ability of regional cloud operators to provide AI-ready infrastructure. Processing modern AI workloads requires much more than traditional cloud infrastructure. Integrating AI systems into everyday services requires computing platforms suited to high-throughput workloads. These platforms must be scalable, efficient, and capable of processing large volumes of inference queries.
Already, regional vendors are beginning to deploy new processor architectures designed for modern cloud workloads, enabling them to deliver greater efficiency and scalability in line with the acceleration of AI. By helping to expand access to these platforms, regional providers will be able to scale their services, invest in new data center capabilities, and support a broader range of AI-driven applications.
By ensuring these technologies can be deployed by regional operators, businesses and public sector organizations will be able to operate AI systems within infrastructure environments that meet their regulatory and operational requirements. Strengthening the European cloud ecosystem will allow companies to benefit from the performance and efficiency required during production, while respecting European sovereignty.
