The European Union is investing over $200 billion into artificial intelligence, but to fully leverage this investment, developers must overcome key constraints such as limited compute resources, strict data privacy requirements, and the need for robust safety measures. At the NVIDIA GTC Paris keynote during VivaTech, NVIDIA introduced a suite of technologies designed to help enterprises navigate these challenges throughout the AI development and deployment cycle. These tools enable organizations to build scalable AI factories either on-premises or in the cloud, empowering them to create secure and optimized sovereign AI agents.
Central to this innovation is the enhanced NVIDIA Enterprise AI Factory validated design, a turnkey solution that combines Blackwell-accelerated infrastructure with a cutting-edge software stack. One of its core features is a new NIM capability, which allows enterprises to achieve rapid inference using a range of open large language model (LLM) architectures. This includes support for over 100,000 public, private, and domain-specific models available on Hugging Face.To further streamline the AI development process, NVIDIA has introduced AI Blueprints and developer resources that help organizations build and onboard AI agents efficiently while maintaining safety, privacy, and continuous improvement. Key components include the AI-Q and data flywheel Blueprints, as well as a specialized safety framework built on NVIDIA NeMo.
These solutions empower European companies to deploy AI at scale without sacrificing performance, compliance, or control. Leading enterprises across Europe are already embracing NVIDIA’s technologies. Financial giants like BNP Paribas and Finanz Informatik are scaling AI factories to support services for both employees and clients. L’Oreal-backed startup Noli.com, in collaboration with Accenture, is leveraging the AI Refinery for its AI Beauty Matchmaker. In healthcare, IQVIA is developing AI agents to enhance service delivery. Meanwhile, telecom companies such as BT Group and Telenor are using AI to improve customer service and automate network configurations, demonstrating the wide applicability and impact of NVIDIA’s AI ecosystem across industries.
Boosting AI Agent Development With Enterprise AI Factories
The first step to create sovereign AI agents is model development — often using regional or enterprise-specific data tailored to specific use cases. To train, manage and scale these models, sovereign AI developers need AI factories.On-premises sovereign AI infrastructure is especially valuable in regulated sectors such as government, finance and healthcare. The NVIDIA Enterprise AI Factory validated design helps these industries scale to support AI applications quickly with on-premises AI factories where every hardware and software layer is optimized.
It features NVIDIA Blackwell accelerated computing — including NVIDIA RTX PRO Servers — NVIDIA networking and NVIDIA AI Enterprise software to accelerate generative and agentic AI applications.Several regional software providers, including Adaptive ML, ClearML, Dataloop, Deepchecks, deepset, Domino Data Lab, EnterpriseDB, Iguazio, Quantiphi, Teradata, Weaviate and Wiz, are now integrating the validated design to help developers build and deploy enterprise AI agents at scale.
The Enterprise AI Factory can also be used with software from regional partners such as aiOla, DeepL, Elastic, Photoroom, PolyAI, Qodo, Sana Labs, Tabnine and ThinkDeep.