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NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks.
The model is an auto-regressive vision language model that uses an optimized transformer architecture.
NVIDIA Nemotron 3.5 Super VL is a vision-language model for reasoning, coding, tool use, and document understanding.
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 is a large language model (LLM) trained by NVIDIA.
A 550B parameter (55B active) open reasoning model from NVIDIA, built for long-running agent workflows.
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications.
NVIDIA Nemotron 3 Nano is an open reasoning model optimized for fast, cost-efficient inference.