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.

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.

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.

Deloitte is helping Poland build agentic systems for healthcare and employment services using open models.

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