Nvidia · NVIDIA Blog
Nemotron Labs: How Open Models Give Enterprises and Nations AI They Can Trust, Control and Customize
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Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and applications on NVIDIA platforms.
Key facts
- LangChain tuned its Deep Agents harness for Nemotron 3 Ultra, adjusting prompts, tools and middleware, with no model retraining, and achieved top agent accuracy among open models at approximately 10x
- Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems
- Open models like NVIDIA Nemotron are built for customization, helping enterprises and nations build AI that’s controllable, trustworthy and tailored to their needs
- Partners like Prime Intellect and Unsloth are already enabling AI customization for enterprises building post-training pipelines on Nemotron, making it practical to run specialized AI at scale
Summary
Increasingly, competitive AI advantage comes from how organizations build with available models, more than which one they choose. Open models like NVIDIA Nemotron are built for customization, helping enterprises and nations build AI that’s controllable, trustworthy and tailored to their needs. Specialized AI, such as autonomous agents and applications, are built with customized open models. That requires access to the model itself.