The European Union is investing over $200 billion into artificial intelligence, and Sovereign AI Factories are emerging as the driving force behind this transformation. With the help of NVIDIA’s technologies, European developers can now build secure, scalable, and locally compliant AI systems tailored to a wide range of industries.
To begin with, NVIDIA introduced the Enterprise AI Factory validated design at the GTC Paris keynote. This design serves as a comprehensive solution that merges Blackwell-accelerated infrastructure with advanced software, allowing enterprises to quickly deploy Sovereign AI Factories both on-premises and in the cloud. As a result, developers can meet strict compliance, privacy, and performance standards from day one.
Moreover, NVIDIA’s NIM — or NVIDIA Inference Microservices — significantly speeds up AI deployment. It enables developers to instantly launch over 100,000 public and private large language models (LLMs) from Hugging Face. NIM automatically chooses the best inference engine, such as TensorRT-LLM, SGLang, or vLLM, ensuring high performance on NVIDIA GPUs. According to Jeff Boudier from Hugging Face, “NIM makes it easy to deploy a broad range of LLMs,” which reflects its growing importance in the world of Sovereign AI Factories.
In addition, NVIDIA launched a set of AI Blueprints to guide safe and efficient development of AI agents. The AI-Q Blueprint, for instance, focuses on building domain-specific agents capable of extracting and retrieving multimodal data. It includes the NeMo Agent toolkit, which integrates seamlessly with popular AI frameworks like LangChain, LlamaIndex, and Semantic Kernel. Therefore, developers can reduce complexity while maintaining high performance and reliability.
Furthermore, NVIDIA’s Data Flywheel Blueprint helps improve models continuously. It creates a feedback loop that retrains and redeploys AI agents using real-world data. Consequently, organizations benefit from more accurate, responsive, and cost-efficient systems. These blueprints run on NVIDIA AI Enterprise and work across all NVIDIA-accelerated infrastructures.
Looking ahead, the upcoming Agentic AI Safety Blueprint will further strengthen the reliability of Sovereign AI Factories. This framework evaluates AI models for safety vulnerabilities such as prompt injection or inappropriate content. In doing so, it helps developers meet regulatory requirements while deploying trustworthy AI agents. The toolkit uses NVIDIA-curated datasets and provides actionable safety scores to prepare models for production use.
Across the EU, these innovations are already being adopted. For example, BNP Paribas and Finanz Informatik are building financial AI agents. Meanwhile, L’Oreal-backed startup Noli.com is working with Accenture to develop beauty-focused AI solutions. Similarly, healthcare leader IQVIA is using NVIDIA’s tools to enhance patient support systems. On the telecom side, BT Group and Telenor are deploying NVIDIA AI Blueprints to automate networks and improve customer service.
At the same time, many regional software firms are supporting the ecosystem. These include Adaptive ML, ClearML, Deepchecks, Domino Data Lab, and others. They are helping organizations deploy Sovereign AI Factories at scale. Likewise, hardware and storage partners such as NetApp, VAST Data, and Dell Technologies are enabling faster, more reliable data handling in AI environments.
Importantly, NIM supports more than 35 languages, including German, French, Hebrew, Dutch, and Spanish. Because of this, AI agents can operate in culturally aware and region-specific contexts. NVIDIA is also collaborating with regional institutions like Barcelona Supercomputing Center and Bielik.AI to optimize local LLMs using Nemotron methods. This ensures that European AI agents are both accurate and locally relevant.
Additionally, global tech giants are integrating NVIDIA’s solutions. Companies like IBM, SAP, Cisco, CrowdStrike, and ServiceNow are adopting NIM microservices to enhance operations in cybersecurity, healthcare, and finance. For instance, Amdocs has incorporated the NeMo toolkit and AI Blueprints into its amAIz product suite. It also uses the Data Flywheel Blueprint to keep its AI agents updated, efficient, and responsive to user behavior.
All things considered, Sovereign AI Factories are laying the foundation for Europe’s AI independence. Thanks to NVIDIA’s infrastructure, software, and blueprints, organizations can now develop and deploy robust AI systems without compromising on data privacy, safety, or compliance. Therefore, as Europe continues its $200 billion AI investment journey, these factories will play a pivotal role in shaping the continent’s digital future.
READ: NVIDIA AI Europe 2025: Building Sovereign AI Infrastructure
