Nemotron
by NVIDIA · developer.nvidia.com ↗
Family of open language models released by NVIDIA for enterprise and research use.
open-weights language-model nvidia
- Category
- Open Models
- Business model
- Open (open weights/source)
- Availability
- Global
- Launched
- 2024
- Record updated
- 2026-07-30
- Model family
- Nemotron
- License
- NVIDIA Open Model License
- Founded
- 1993
- Headquarters
- US
- Canonical URL
- https://globalaiproductindex.com/products/nemotron/
Overview
Nemotron is NVIDIA's family of open models for enterprise and agentic AI, spanning large language models, vision-language models, and safety/reward models. Built by post-training open bases such as Llama with NVIDIA's data and techniques, they are optimized for NVIDIA hardware and released with open weights, datasets, and recipes. The models are free; NVIDIA monetizes through its NIM microservices and hardware.
Key features
- Open-weight LLMs, VLMs, and reward models
- Optimized inference on NVIDIA GPUs
- Open training data and post-training recipes
- Available as NVIDIA NIM microservices
Use cases
- Building agentic AI on open, commercially usable models
- Enterprise deployments on NVIDIA infrastructure
- Research using open post-training datasets
Pricing
Nemotron weights are free under NVIDIA's open model license; production deployment via NVIDIA NIM/AI Enterprise is licensed commercially.
Frequently asked questions
What is Nemotron?
Nemotron is NVIDIA's open model family for language, vision, and reasoning, tuned for enterprise agents and NVIDIA hardware.
Are Nemotron models open?
Yes, weights and much of the training data are openly released for commercial use.
How does NVIDIA make money from Nemotron?
Through GPU sales and paid enterprise software such as NIM microservices, while the models themselves are free.
Similar products
- Baichuan — Open-weight bilingual LLM family from Beijing-based Baichuan Intelligence, now focused on medical AI with its Baichuan-M reasoning models.
- Command R — Cohere's open-weight LLM family optimized for retrieval-augmented generation and tool use; succeeded by Command A as Cohere's flagship.
- DBRX — Open-weight mixture-of-experts LLM released by Databricks in 2024; retired from Databricks serving in 2025, though the weights remain available.
- DeepSeek — Open-weight LLM family and chat assistant from Hangzhou-based DeepSeek, known for strong reasoning models. The official DeepSeek-V4-Flash-0731 API brings a major agent-capability upgrade via post-training, with native Responses API support and Codex adaptation.
- Falcon — Family of open-weight large language models developed by the Technology Innovation Institute (TII).
- Gemma — Google's family of lightweight open-weight models derived from the same research as Gemini.
Sources
This record was last reviewed on 2026-07-30.
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