
NVIDIA’s open multimodal model for specialized agents
Nemotron 3.5 Super VL is NVIDIA’s open, customizable multimodal model for specialized agents. It is a 120B mixture-of-experts model with 12B active parameters that handles text, image, document, and video input, plus reasoning and tool use, in one model. NVIDIA claims up to 5x higher agentic throughput on a single GPU than open models its size. Checkpoints, training recipes, and datasets are on Hugging Face, with a NIM container.
Nemotron 3.5 Super VL is a 120B mixture-of-experts multimodal AI model by NVIDIA, designed for specialized agents with capabilities in text, image, document, and video processing. It features 12B active parameters and offers up to 5x higher agentic throughput on a single GPU compared to similar open models.
Nemotron 3.5 Super VL boasts 5x higher agentic throughput on a single GPU.
Signal 54 out of 100, 120B model, 12B active parameters, 5x higher throughput.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.