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NVIDIA Nemotron Guide

Understand NVIDIA’s open Nemotron models and how to run them for agents, on your own hardware or in the cloud

  • 10 bite-sized sections
  • 2 min read
  • Free, no signup

Short answer

A free NVIDIA Nemotron guide as of October 2026: what Nemotron is, the Nemotron 3 family (Nano, Super, and Ultra), Nemotron 3.5 Lightning, embedding, speech, and safety models, open weights and open training data, the hybrid mixture-of-experts design, where to get the models (Hugging Face, build.nvidia.com, NIM), running locally, building agents, licences, and choosing the right size.

Updated

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Inside this guide

Short cards you can read in order or jump straight to. Tap the link icon on any card to share just that part.

01

What is Nemotron?

Nemotron is NVIDIA’s family of open AI models. NVIDIA releases the model weights, and for Nemotron 3 also released trillions of tokens of training data, so developers can run, study, and customise the models themselves.

Nemotron is built for agents you control: open weights, open data, your hardware.

02

The Nemotron 3 family

Nano
Small and fast, for local and edge use
Super
Mid-size, for most agent workloads
Ultra
The largest, for the hardest reasoning tasks

Nemotron 3 launched from December 2025. Third-party listings give different parameter counts, so check each model card on Hugging Face for exact sizes.

03

Nemotron 3.5 Lightning

On August 11, 2026, NVIDIA released Nemotron 3.5 Lightning, a 30-billion-parameter mixture-of-experts model with about 3 billion active parameters, built for long-running local AI agents. It is on Hugging Face, including a compact NVFP4 version.

Reports of other Nemotron 3.5 models, such as a Super VL vision model, were still unclear at the time of writing.

04

Beyond chat models

Embedding
Nemotron 3 Embed in 1B and 8B sizes, for search and RAG
Speech
Streaming speech recognition models
Safety
Content safety models to filter inputs and outputs
05

Why the design matters

  • Hybrid mixture-of-experts: only part of the model runs for each token, so it is faster and cheaper
  • Built for agent tasks such as tool use and long multi-step work
  • Optimised for NVIDIA GPUs, including low-precision formats
06

Where to get it

  • Hugging Face, under the nvidia organisation
  • build.nvidia.com to try models in the browser and through an API
  • NVIDIA NIM containers for production deployment
  • Cloud and inference providers that host Nemotron
07

Run it locally

  • Smaller models like Lightning can run on a strong workstation GPU
  • Use quantised versions to save memory
  • Tools such as llama.cpp, Ollama, and vLLM support many Nemotron models
  • Check the model card for hardware needs
08

Build agents with it

  • Use a small model for routing and simple tool calls
  • Use a larger model for planning and hard reasoning
  • Pair it with an embedding model for retrieval
  • Add a safety model in front of user-facing agents
09

Check the licence

Recent Nemotron models use NVIDIA’s open model licences, such as OpenMDW-1.1 for Ultra and the Nemotron 3.5 models. Read the licence on each model card before using it commercially.

10

Choose the right size

Laptop or edge device
Nano or a quantised small model
Single workstation GPU
Lightning
Servers or cloud
Super or Ultra

The golden rule

Do not pick the biggest Nemotron model by default. Start with the smallest one that handles your task, test it on your real workload, and read the licence before you ship.

  • Open weights
  • Nemotron 3
  • Lightning
  • Embed
  • NIM
  • Local
  • Licence

Try a Nemotron model on build.nvidia.com today with one task from your own work.

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Frequently asked questions

The quick answers, if you just need the gist.

What does “NVIDIA Nemotron Guide” cover?
It has 10 sections, starting with “What is Nemotron?”, “The Nemotron 3 family”, “Nemotron 3.5 Lightning” and “Beyond chat models”, plus 6 more sections.
How long does it take to read?
About 2 minutes. Every section is a short, self-contained card, so you can jump straight to the part you need.
Is this guide free?
Yes. The full guide is free to read on this page, with no sign-up.
When was this guide last updated?
It was last updated in October 2026.

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