NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries

NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries

The portfolio includes the new NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking and document parsing; the new NVIDIA Kumo family open weight foundation models and libraries for structured business data; NVIDIA Cosmos 3.5 world models; NVIDIA Alpamayo 2 Edge for autonomous vehicles; NVIDIA BioNeMo for healthcare and scientific discovery; and NVIDIA Ising for quantum computing.

The open models give organizations a foundation they can customize with local data and deploy on infrastructure they control.

Developers can use pretrained Kumo models to bring predictions to more applications quickly, then fine-tune them using proprietary data when higher performance is critical. The portfolio includes NVIDIA Kumo Structured , with models for relational and tabular prediction, forecasting and anomaly detection, and NVIDIA Kumo Engine , an open library stack for developing and deploying structured data foundation models.

NVIDIA is introducing new Cosmos post-training and optimization tools to help developers improve world models using less compute, along with simulation checkpoints for evaluating behavior in interactive driving and robotic manipulation scenarios before real-world testing.

NVIDIA is also introducing Cosmos Data Factory — comprising blueprints and core agent skills — to help developers curate, label, generate and evaluate training data for driving scenarios, product defects, image augmentation and event generation. Developers can use complete workflows or individual capabilities with agents coordinating the process.

NVIDIA Nemotron brings open language models, datasets and recipes to developers building agents. The models support text and images, helping agents orchestrate workflows, reason through complex problems and complete specialized tasks at a lower cost. Nemotron models are built with data, research and expertise from the NVIDIA Nemotron Coalition , including European partners Black Forest Labs , H-Company and Mistral .

Nemotron provides a foundation for enterprises to build applications based on their own knowledge and expertise. Dassault Systèmes , Domyn , Dream , Palantir’s customers , Salesforce , SAP , Shopify , Synopsys and WPP , as well as professional services providers like Accenture and EY, are working with Nemotron models and datasets to create custom models and build domain-specific agents.

A broad ecosystem of post-training partners, including AfterQuery , AgileRL , AI21 , Alice , Applied Compute , Baseten , CoreWeave , Distil Labs , EON , Fastino , Fireworks , Google Cloud, Mercor , Multiverse Computing , Nebius , Handshake AI , Plurai , Prime Intellect , River.AI, Scale AI , Trajectory and TNG, is helping enterprises customize Nemotron for domain-specific workloads.

NVIDIA Kumo open foundation models, libraries and tools help agents and applications forecast outcomes, score fraud risk and recommend actions from structured business data. Part of NVIDIA Agent Knowledge Foundation , Kumo shortens time to prediction and reduces the cost and complexity of building a separate machine learning pipeline for every task.