Nemotron Nano 2

Nemotron-Nano 2 is the smallest member of NVIDIA’s Nemotron family, engineered for real-time experiences where latency, cost, and privacy matter. It’s designed to run locally—no cloud round-trip—using quantization and CUDA/TensorRT-LLM optimizations to fit tight memory budgets while keeping responses snappy. The model is instruction-tuned for reliable formatting and supports function calling, streaming output, and JSON schemas so you can drop it into agent loops or workflow automations.

Typical uses include on-device copilots, customer-support widgets, code and shell helpers, lightweight RAG over a small cache, document/chat summarization, and UI automation guidance. Developers can deploy it as a NIM (for scalable containers) or embed it directly in local apps on Jetson/Orin or RTX systems, with 4-/8-bit quantization options to balance quality and speed. If you need quick, private, and inexpensive inference at the edge—with just enough reasoning and coding ability for everyday tasks—Nemotron-Nano 2 hits that sweet spot.