Open technology has always helped drive major changes in the digital world. From the early days of the internet to cloud computing, sharing tools and systems openly has helped people invent and solve big problems. NVIDIA believes the same approach works best for artificial intelligence. That is why NVIDIA has made its Nemotron family of AI models, training datasets, and development techniques open for everyone to use.
NVIDIA Nemotron is a collection of advanced AI resources available for both research and commercial use. You can use it on your own computer or on big computer systems in businesses. Developers can find these materials on platforms like GitHub, Hugging Face, and OpenRouter. By using Nemotron, anyone from small startups to large companies can build and customize their own AI solutions with models that have been trained using clear and open data. This means developers understand how the models work and can trust their results.
Nemotron offers powerful tools for every step of AI development. This includes state of the art AI models that handle language, math, coding, following instructions, using tools, and even understanding pictures. The toolkit also provides large collections of data for teaching AI, along with smart techniques to make AI run faster and more efficiently. Advanced software is included for training these large models using NVIDIA’s powerful computer chips, which allows for scaling up to meet any project’s needs.
One of Nemotron’s big strengths is the focus on transparency. Developers and companies can see exactly how their models are trained. This gives them confidence in both the reliability and safety of their AI solutions. Nemotron supports both generalized intelligence, which can solve all kinds of broad and complex problems, and specialized intelligence that can be customized for specific industries like healthcare, manufacturing, education, and retail.
Generalized intelligence refers to AI models trained on a wide variety of tasks and public information. These models solve broad problems and can reason in flexible ways. By contrast, specialized intelligence allows these models to adapt to the language and challenges of a business or industry. Both approaches are important. Nemotron provides the starting point with strong generic models and also offers tools to help you fine tune them for your specific needs.
Developers and businesses are using Nemotron in creative ways. For example, CrowdStrike uses Nemotron to help security teams quickly build their own smart AI agents. DataRobot uses it to manage and customize AI agents for companies in both private and cloud based environments. ServiceNow created a smaller, faster Nemotron model focused on handling real time business workflows. University College London even used Nemotron to create an AI that understands English and Welsh for a national project.
Nemotron benefits from new ideas coming from the global AI community. For instance, collaborations with Alibaba, DeepSeek, OpenAI, and Meta have strengthened Nemotron’s abilities in reasoning, math, and building new types of AI models. These partnerships help everyone create smarter and more reliable AI faster.
Getting started with NVIDIA Nemotron is simple. You can train and customize your AI using datasets and models on Hugging Face and try them out for free on OpenRouter. Developers using NVIDIA RTX computers also have access through the llama cpp framework.
Joining the AI revolution with Nemotron is easy, and the technology is supporting research, business, and innovation around the world. Stay connected with the latest news by following NVIDIA’s developer channels and consider attending events like Agentic AI Day to see how cutting edge AI is being built and adopted.
Original article and image: https://blogs.nvidia.com/blog/nemotron-open-source-ai/
