NVIDIA Nemotron 3 Nano Omni Is the One AI Model That Sees, Hears and Thinks, 9x Faster
NVIDIA has launched the Nemotron 3 Nano Omni, a powerful open multimodal model that merges vision, audio and language processing into a single system ending the fragmented approach that has slowed down enterprise AI agents for years.
Most AI agent systems today rely on separate models to handle different inputs: one for vision, another for speech, another for language. Every handoff between those models costs time, adds errors and burns computing resources. NVIDIA Nemotron 3 Nano Omni is built to fix exactly that, combining all three capabilities into one unified architecture that processes text, images, audio, video, documents, charts and graphical interfaces simultaneously.
The model is built on a 30B-A3B hybrid mixture-of-experts architecture with Conv3D and EVS encoders and a 256K context window. According to NVIDIA’s technical blog, it delivers up to 9x higher throughput than comparable open omni models at the same level of interactivity meaning faster responses, lower costs and better scalability for enterprises building production-ready agentic systems.
NVIDIA Nemotron 3 Nano Omni has already topped six leaderboards covering complex document intelligence, video understanding and audio reasoning a strong early signal of where it sits competitively in the open-model space.
The model is designed to work as the “eyes and ears” in a larger system of agents, sitting alongside reasoning-heavy models like Nemotron 3 Super or Nemotron 3 Ultra for more complex planning tasks. In practice, this makes it useful for a wide range of enterprise workflows from customer support agents processing screen recordings and call audio simultaneously, to finance agents parsing mixed-media documents including PDFs, spreadsheets and voice notes.
H Company’s CEO Gautier Cloix described the shift in real terms: their latest computer use agent, built on NVIDIA Nemotron 3 Nano Omni, processes full HD screen recordings at native 1920×1080 resolution something that wasn’t practical before. “This isn’t just a speed boost,” Cloix said. “It’s a fundamental shift in how our agents perceive and interact with digital environments in real time.”
Beyond computer use, the model supports document intelligence workflows interpreting charts, tables, screenshots and mixed-media inputs as well as audio and video understanding for customer service, research and content monitoring use cases. In each case, it maintains context across modalities rather than producing disconnected summaries.
NVIDIA Nemotron 3 Nano Omni is released with open weights, datasets and training techniques, giving organizations full control over how they customize and deploy it. Deployment is flexible from edge hardware like NVIDIA Jetson and DGX Spark to full data center and cloud environments making it viable for organizations with strict regulatory or data localization requirements.
Companies already building on the model include Aible, Foxconn, Palantir and H Company, while Dell Technologies, Docusign, Oracle and others are actively evaluating it. The broader Nemotron 3 family has crossed 50 million downloads in the past year.
The model is available now via Hugging Face, OpenRouter, build.nvidia.com and over 25 partner platforms.
