Most AI agent systems today are a patchwork. Need to process a screen recording? One model. Transcribe audio from a customer call? Another. Parse a PDF? A third. Each handoff between models adds latency, fragments context, and introduces fresh opportunities for error. NVIDIA’s new Nemotron 3 Nano Omni is built to fix exactly that.
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Launched on April 28, 2026, Nemotron 3 Nano Omni is a single omni-modal reasoning model, having the capabilities of vision, audio and language understanding wrapped into one model. Unlike other models, which utilize separate perception models to handle different forms of data, it processes all forms of input – text, images, audio, video, documents, graphs and graphical user interfaces at once as “eyes and ears” for the agent.
The performance speak for itself. According to NVIDIA, Nemotron 3 Nano Omni outperforms the competition by providing 9x greater throughput compared to any other open-source omni-modal model of the same quality of interactivity. This means the difference between an interactive and a laggy agent.
The model operates on a 30B-A3B mixture-of-experts architecture using Conv3D and EVS components, working with a context of up to 256K. It tops six different leaderboards in complex document intelligence, video understanding and audio reasoning tasks.
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NVIDIA positions the model across three primary use cases. For computer use agents, it powers the visual perception loop – H Company’s computer use agent, for instance, runs native 1920×1080 resolution inputs using Nemotron 3 Nano Omni, enabling real-time reasoning over full HD screen recordings. For document intelligence, it can reason across mixed-media inputs – PDFs, charts, screenshots – coherently, without losing the thread between visual structure and text. For audio-video workflows in customer service or compliance, it maintains unified context across what was said, shown, and written.
It comes pre-trained with open weights, datasets, and methods. And it is now available from Hugging Face, OpenRouter, and build.nvidia.com through NVIDIA NIM Microservices. This model works on local devices such as NVIDIA Jetson, all the way up to data center scale, which is useful for companies with localized data restrictions.
This model was initially used by Palantir, Foxconn, Docusign, and Infosys. H Company and Aible are already shipping their products built on this model.
The Nemotron 3 series surpassed 50 million downloads in the past year. Omni is its most advanced iteration yet.
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