Introducing NVIDIA Nemotron 3 Nano Omni
Developers are no longer building simple text-based AI systems.
They’re building agents that can read documents, interpret screens, watch videos, listen to audio, and act across all of it in a single workflow.
But multimodal agents introduce a new kind of complexity.
Most multimodal systems today rely on separate models for vision, speech, and language—and stitch them together inside long-running workflows.
As these systems scale, three issues consistently show up:
- Inference fragmentation: each modality requires separate model calls, increasing latency
- Context fragmentation: insights across vision, audio, and text are not shared cleanly
- Orchestration overhead: complex pipelines, retries, and synchronization
Today, we’re excited to support Nemotron 3 Nano Omni on Lightning, giving developers an open, efficient multimodal model built for real-world agent systems.
Enter NVIDIA Nemotron 3 Nano Omni
NVIDIA Nemotron 3 Nano Omni is a multimodal perception model that acts as the “eyes and ears” of an agent system.
It maintains a shared context across vision, audio, video, and text within a single reasoning loop, feeding structured understanding into downstream agents for execution and planning.
Instead of stitching together separate perception models, developers can rely on a single system that keeps multimodal context coherent across steps.
Reducing overhead in multimodal agent systems
Multimodal systems are expensive by default.
Every additional model introduces more latency, more orchestration, and more opportunities for failure.
NVIDIA Nemotron 3 Nano Omni replaces multi-model perception stacks with a single multimodal model, reducing system complexity while improving performance across agent workflows.
Using this model, an AI system can achieve:
- ~9x higher throughput for video workloads
- ~7x higher throughput for multi-document workflows
- Faster time to task completion through fewer inference hops
These gains translate directly into lower cost, higher scalability, and better responsiveness, without sacrificing accuracy.
Because of its lightweight, efficient architecture, Nemotron 3 Nano Omni can run continuously as a dedicated perception sub-agent, supporting the entire system without dominating cost.
Open, flexible, and production-ready
Nemotron 3 Nano Omni is released with open weights, data, and training recipes, enabling full transparency and control.
Teams can deploy it across cloud, on-prem, or hybrid environments, maintain full control over sensitive data, and customize the model for domain-specific workflows. This aligns with a growing shift toward systems of models, where specialized models work together efficiently in production environments.
Run NVIDIA Nemotron 3 Nano Omni on Lightning
Building production-ready multimodal agents requires more than just a model.
With Lightning, developers can:
- deploy scalable inference endpoints for Nemotron 3 Nano Omni
- power multimodal perception sub-agents
- combine with models like Nemotron 3 Super (execution) and Nemotron 3 Ultra (planning)
- build modular, efficient multi-agent systems
Each model handles the part of the workflow it’s best suited for, allowing teams to balance cost, performance, and reliability.
The next phase of agent systems
Agent systems are becoming multimodal, continuous, and deeply integrated into real workflows.
NVIDIA Nemotron 3 Nano Omni introduce a new layer in the stack: a dedicated multimodal perception engine that keeps agents grounded in everything they see and hear.
Combined with platforms like Lightning, developers can build systems that are faster, more efficient, and easier to operate in production.
Get started
Run multimodal agent workflows, build perception-driven systems, and deploy scalable AI applications - all in one platform.
Try NVIDIA Nemotron 3 Nano Omni on Lightning and start building the next generation of multimodal agents.