NVIDIA Nemotron is a family of open-weight models with open training data and recipes, designed to excel at agentic AI tasks. Models in the Nemotron family deliver leading efficiency and accuracy for reasoning, vision, retrieval-augmented generation (RAG), speech, and safety tasks. The Nemotron 3 family (Nano, Super, and Ultra sizes) provides the most efficient open models with a hybrid Mamba-Transformer mixture-of-experts (MoE) architecture, 1M-token context, and top accuracy for complex, high-throughput agentic applications.
Nemotron models power reasoning for graduate-level science, advanced math, visual understanding, and agentic decision-making. Specialized variants include Nemotron Vision models for visual reasoning, Nemotron RAG models for retrieval-augmented generation, Nemotron Guardrail models for safety and compliance, and Nemotron Speech models for voice interaction. They integrate directly into the Agent Toolkit for building specialized agents without proprietary model dependencies.
For knowledge retrieval, Nemotron models pair with Milvus to power RAG agents. Agents use Nemotron for reasoning over retrieved context from Milvus vector searches, combining semantic search efficiency with open-source model flexibility. This enables cost-effective, on-premises agents with full data control—ideal for regulated industries and organizations with strict data residency requirements.