Using Nemotron 3 Nano on NVIDIA NIM
Implementation guide · Nemotron 3 · NVIDIA AI
ServerlessOpen Weights
NVIDIA NIM exposes Nemotron 3 Nano through model ID nvidia/nemotron-3-nano-30b-a3b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-14. Next refresh: weekly.
Quick Start
- 1
- 2Use the NVIDIA NIM SDK or REST API to call
nvidia/nemotron-3-nano-30b-a3b— see the documentation for request format. - 3
Code Examples
Pricing on NVIDIA NIM
Capabilities
JSON / Tool use
About Nemotron 3 Nano
NVIDIA's lightweight 3.97B parameter model optimized for edge deployment with FP8 quantization (W8A8 mixed precision). Designed for agentic AI applications including gaming NPCs, local voice assistants, and IoT automation. Supports instruction following, tool use, and hallucination avoidance. Strong performance on BFCL, IFBench, IFEval, HaluEval, RULER, Tau2, AIME25, MATH500, GPQA-D, and LiveCodeBench.
Model Specs
Released2025-12-15
Parameters3.97B
Context256k
ArchitectureMixture of Experts