Open and efficient multimodal models for agentic AI.

Blog | For Developers

NVIDIA Nemotron™ is a family of open models, datasets, and technologies that empower you to build efficient, accurate, and specialized agentic AI systems. Designed for advanced reasoning, coding, visual understanding, agentic tasks, safety, and information retrieval, Nemotron models are openly available and integrated across the AI ecosystem so they can be deployed anywhere—from edge to cloud.

With transparent training data and broad platform support, Nemotron makes it easier to create and deploy trustworthy, high-performance AI agents.

Open Secret: How NVIDIA Nemotron Models, Datasets, and Techniques Fuel AI Development

NVIDIA Launches Open-Source AI Models and Datasets to Accelerate Innovation

Select from a range of Nemotron reasoning models—Nanoprovides superior accuracy for PC and edge devices,Superoffers the highest accuracy and throughput to run on a single NVIDIA Tensor Core GPU, andUltradelivers the best accuracy for complex systems optimized for multi-GPU data centers.

Nemotron models deliver industry-leading extraction, embedding, and reranking capabilities for building retrieval pipelines that connect your enterprise data to agentic systems to provide accurate, real-time business insights.

NVIDIA Nemotron Safety Guard models provide real-time protection against harmful content, off-topic drift, and jailbreak attempts. They add a multilingual content safety layer, enhancing moderation and ensuring cultural alignment.

• Build, customize, and deploy generative AI and agentic AI.
• Deliver enterprise-ready large language models (LLMs) with precise data curation, cutting-edge customization, scalable data ingestion, RAG, and accelerated performance.
• Easily build data flywheels and continuously optimize AI agents with the latest information.

• Speed up deployment of performance-optimized generative AI models.
• Run your business applications with stable and secure APIs, backed by enterprise-grade support.

• Quickly get started with reference applications for generative AI use cases, such as enterprise deep research and multimodal RAG.
• Accelerate development with blueprints, which include partner microservices, one or more AI agents, reference code, customization documentation, and a Helm chart for deployment.

Get started with easy-to-use API endpoints for NIM, powered by DGX™ Cloud.

• Access fully accelerated AI infrastructure.
• Ensure your data isn't used for model training.
• No credits, just a simple path to build, test and deploy.

Talk to an NVIDIA AI specialist about moving generative AI pilots to production with the security, API stability, and support that comes with NVIDIA AI Enterprise.

• Explore your generative AI use cases.
• Discuss your technical requirements.
• Align NVIDIA AI solutions to your goals and requirements.

NVIDIA Nemotron models aren't just open, but truly open source. NVIDIA publishes the training datasets, techniques, and model weights so the open-source community can benefit from our learnings and use these resources to create their own models.

The NVIDIA Open Model License is a permissive license that allows users to use, modify, distribute, and commercially deploy the models and derivatives without crediting NVIDIA, to encourage innovation and further development of generative AI.

Yes, you can download and run NVIDIA Nemotron models fromHugging Face for free in production.

NVIDIA also offers Nemotron models as NVIDIA NIM microservices for secure, scalable deployment, which requires an NVIDIA AI Enterprise license. You can try the Nemotron models and download the NIM microservices frombuild.nvidia.com.

Yes, NVIDIA is committed to publishing more Nemotron models, datasets, and techniques to enable open-source ecosystems.

NVIDIA Nemotron models are built on top of frontier open models, making it possible to build better models faster. Additionally, NVIDIA publishes the model weights, training datasets, and training techniques so the developer community can use these different parts of Nemotron to train their own models.

Yes. NVIDIA built the Llama Nemotron models on top of the Llama model family using NVIDIA’s open datasets and advanced techniques, such as Neural Architecture Search (NAS). The Llama Nemotron models inherit the parent Llama model license.

NVIDIA provides a variety of tools, such as NVIDIA Dynamo, TensorRT-LLM, and NIM, to run Nemotron models at scale in production. You can also use popular open-source libraries, such as SGLang and vLLM.

Use the right tools and technologies to take NVIDIA Nemotron models from development to production.

Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support that comes withNVIDIA AI Enterprise.

Get the latest agentic AI news, technologies, breakthroughs, and more sent straight to your inbox.