
Governments need modern solutions to serve the public while keeping sensitive information under their control. Open models provide a path forward, letting governments evaluate them, adapt them to local languages and public services, run them on infrastructure they control, apply their own safeguards and keep sensitive data within controlled environments. Some open models go further, with the datasets they were trained on published so governments can verify if training data was licensed, biased or compliant. NVIDIA partners and European governments are teaming to bring advanced models to boost the efficiency of public administration while retaining control of data and infrastructure.
Governments need modern solutions to serve the public while keeping sensitive information under their control.
Open models provide a path forward, letting governments evaluate them, adapt them to local languages and public services, run them on infrastructure they control, apply their own safeguards and keep sensitive data within controlled environments. Some open models go further, with the datasets they were trained on published so governments can verify if training data was licensed, biased or compliant.
NVIDIA partners and European governments are teaming to bring advanced models to boost the efficiency of public administration while retaining control of data and infrastructure.
To support local development, the Sovereign Open Source Foundation Models research initiative (Soofi) is developing a family of AI models for German industry and the public sector. That includes Nemotron-Personas-Germany, an open dataset of 1 million records, each with six synthetic personas, grounded in the 2022 census across all 16 federal states and 400 districts. Created with NVIDIA NeMo Data Designer without real people’s private data, the dataset helps developers test whether public-service models work consistently across regions, age groups and communities. Like the U.K. edition, it can be used with NeMo User Sim so developers can evaluate and train models against simulated users based on synthetic German personas.
NVIDIA Triton Inference Server supports the shared services used to find and rank relevant information. The expansion builds on operating requirements demonstrated by deployments such as AI@EC, where reusable components, role-based access, audit trails and guardrails support applications including document summarization, knowledge management and multilingual policy analysis.
With Deloitte’s support, Poland’s Ministry of Family, Labour and Social Policy is developing an agentic factory on NVIDIA accelerated computing infrastructure. Designed to support more than 400 labor offices, it will run models including PLLuM, GPT OSS and Inkling for document search, summarization and digital assistants, helping staff more efficiently assist job seekers.
In an effort to support public sector organizations in integrating agentic AI in Europe and beyond, NVIDIA Open Models Codefest brings together startups, software providers and labs across the region to turn open models into locally controlled solutions for public sector challenges, including medical reasoning, AI tutoring and model governance. The top five teams are Pleias , Zehnlab.ai , Disseqt , Algoritmica GmbH and ABA Technology . Deutsche Telekom and T-Systems have provided the compute infrastructure for teams to train and deploy large language models.
Several are also building editions of the NVIDIA Nemotron-Personas collection , the partner-grounded datasets behind NeMo User Sim , NVIDIA’s open source library for population-scale user simulation that dynamically evaluates and trains models and agents in local languages.
Berlin-based software company deepset is expanding its Haystack Enterprise Platform , the foundation of AI@EC, the European Commission’s shared platform for building and running AI applications on commission-managed infrastructure.
The update connects agent development, execution, optimization and governance for all customers, adding capabilities to compare operating costs, evaluate answer quality and trace problems.
Governments need modern solutions to serve the public while keeping sensitive information under their control Reported by NVIDIA AI on October 22, 2026.