NVIDIA has introduced Nemotron 3 Nano Omni, a new open multimodal AI model designed for agentic AI systems. The model can work across video, audio, images, documents, and text, which means it can understand more than one type of input inside the same workflow.
The main promise is efficiency. NVIDIA says Nemotron 3 Nano Omni can deliver up to 9x higher throughput than other open omni models while keeping the same level of interactivity. In simple terms, it should be able to process more work faster, which can lower costs for companies building AI agents.
NVIDIA wants Nemotron 3 Nano Omni to replace separate vision and audio models inside enterprise AI agents
Many AI systems still use different models for different jobs. One model may read documents, another may understand images, and another may process audio or video. That can make systems slower and more expensive because every task has to move between separate parts.
Nemotron 3 Nano Omni tries to simplify that setup. It combines vision and audio encoders inside a 30B-A3B hybrid mixture-of-experts architecture. This lets the model handle different types of information in one system instead of depending on several separate perception models.
That matters for enterprise AI agents. A support agent, for example, may need to read a document, understand a screenshot, listen to a call, and follow what is happening on a computer screen. If the model can keep all of that context together, it can respond with more useful answers.
| Use case | How Nemotron 3 Nano Omni can help |
|---|---|
| Computer-use agents | Understands screens and user interface changes |
| Document intelligence | Reads charts, tables, screenshots, and mixed documents |
| Audio-video reasoning | Connects what was said, shown, and written |
| Enterprise workflows | Helps reduce model switching and inference cost |
NVIDIA says the model has already topped six leaderboards for complex document intelligence, video understanding, and audio understanding. The company is positioning it as a production-ready option for developers and enterprises that want more control over deployment.
Several companies are already adopting or evaluating the model. NVIDIA named Aible, Applied Scientific Intelligence, Eka Care, Foxconn, H Company, Palantir, and Pyler among early adopters. Dell Technologies, DocuSign, Infosys, K-Dense, Lila, Oracle, and Zefr are evaluating it.
The model can also work with other NVIDIA Nemotron models. For example, Nemotron 3 Super can handle high-frequency execution, while Nemotron 3 Ultra can focus on complex planning. Nemotron 3 Nano Omni can fit into that system as the perception layer for tasks that need image, video, audio, and document understanding.
One example mentioned in the announcement is H Company’s computer-use agent. It uses Nemotron 3 Nano Omni at a native 1920×1080 input resolution to understand graphical interfaces more clearly. That could be useful for agents that need to control software, inspect screens, or follow visual steps over time.
This launch also shows where NVIDIA’s AI strategy is moving. The company is not only selling GPUs for training large models. It is also building open models, software tools, and enterprise workflows that keep customers inside the NVIDIA ecosystem.
For businesses, the appeal is clear: one model that can understand many types of input, run faster, and reduce the need for separate AI components. For NVIDIA, Nemotron 3 Nano Omni strengthens its push into agentic AI, where models do not just answer questions but help complete real tasks across documents, screens, audio, and video.
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