Nemotron Labs: How Open Models Give Enterprises and Countries AI They Can Trust, Govern, and Customize

NVIDIA has launched the Nemotron Labs article series, dedicated to how open-source models help businesses build specialized AI systems. It notes that competitive advantage in AI is increasingly achieved through how organizations utilize available models, rather than which specific model they choose. Unlike closed models, open ones provide full control and customization: enterprises can inspect, fine-tune, and improve AI for their tasks. Effective agentic applications are built as systems of models, where open-source models work alongside leading frontier models. Examples of companies already customizing Nemotron are provided: Abridge adapts the model for clinical dialogues; Glean created an agentic retrieval model Waldo; H Company built Holotron 3 Nano; Harvey fine-tuned Nemotron for legal tasks with accuracy matching closed alternatives at ten times lower cost; Heidi Health achieved frontier-level quality without frontier-scale costs; YTL AI Labs trained a model for the Malay language. The NVIDIA NeMo library suite accelerates customization and evaluation. Partners Prime Intellect and Unsloth assist with post-training. LangChain configured agentic orchestration for Nemotron 3 Ultra and achieved the best accuracy among open models. Arcee AI, using the NVIDIA Blackwell platform, achieved costs of approximately 90 cents per million output tokens—roughly 20 times cheaper than closed alternatives. The NVIDIA Nemotron Coalition brings together developers for collaborative improvements to the open model.