NVIDIA-Nemotron-Nano-9B-v2

Training compute

1.5×10²⁴ FLOP

Parameters

9B

Published

Aug 18, 2025

NVIDIA-Nemotron-Nano-9B-v2 is an AI model developed by NVIDIA (United States), first published in August 2025. It works in the language domain, on tasks such as language modeling/generation and question answering.

Training it took an estimated 1.5×10²⁴ FLOP of compute (estimation method: reported,operation counting). The model has 9,000,000,000 parameters. It was trained on roughly 21.1T datapoints.

Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: NVIDIA
Country of organization: United States
Domain: Language
Task: Language modeling/generation, Question answering
Training compute: 1.5×10²⁴ FLOP
Compute estimation method: Reported, Operation counting
Parameters: 9,000,000,000
Dataset size: 21.1T
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident