The Neuron: AI Explained NVIDIA’s Kari Briski on How to Use NVIDIA Nemotron Open-Source AI
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Oct 15, 2025 Kari Briski, Vice President of Generative AI for Enterprise at NVIDIA, discusses the powerful capabilities of Nemotron, NVIDIA's open-source AI models. She explains the key differences between the Nano, Super, and Ultra tiers, emphasizing the importance of hardware specs. Briski dives into why businesses might prefer local deployment over cloud solutions for privacy and specialization. She also touches on the potential for Nemotron to enhance specialized applications in sectors like healthcare and banking, making AI more accessible and tailored for various industries.
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Nemotron Is A Complete Open-Source Stack
- Nemotron is more than models: it includes datasets, recipes, training frameworks, and research.
- NVIDIA publishes the full "ingredients" so developers can build and specialize foundation models.
Transparency Drives Developer Adoption
- NVIDIA's open-source strategy attracts developers and feedback by releasing models and ingredients.
- Transparency helps enterprises trust and build specialized AI using those shared assets.
Customize Models With Recipes And Distillation
- Use Nemotron recipes to distill, quantize, or alter architectures for your domain.
- Modify model internals and retrain to create smaller, faster models tailored to your needs.