Model ID
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
Capabilities
Nemotron 3 Nano Omni 30B A3B Reasoning BF16
Nvidia Nemotron 3 Nano Omni 30B A3B Reasoning BF16 is a multimodal Mixture-of-Experts reasoning model designed for unified audio, vision, and language understanding, enabling AI agents to efficiently derive insights from videos and documents with high accuracy. It features a 30B parameter architecture with 3B activated, using 52 layers, 2,688 hidden size, and 32 attention heads, activating 6 experts per token across 128 routed experts with a shared expert. The model integrates C-RADIOv4-H based vision and Parakeet audio encoders, and combines hybrid Mamba-attention layers for efficient long-context processing and precise reasoning, supporting up to 256K tokens for image, video, document, and speech reasoning tasks.
About this model
Nvidia Nemotron 3 Nano Omni 30B A3B Reasoning BF16 is a multimodal Mixture-of-Experts reasoning model designed for unified audio, vision, and language understanding, enabling AI agents to efficiently derive insights from videos and documents with high accuracy. It features a 30B parameter architecture with 3B activated, using 52 layers, 2,688 hidden size, and 32 attention heads, activating 6 experts per token across 128 routed experts with a shared expert. The model integrates C-RADIOv4-H based vision and Parakeet audio encoders, and combines hybrid Mamba-attention layers for efficient long-context processing and precise reasoning, supporting up to 256K tokens for image, video, document, and speech reasoning tasks.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16). Released under NVIDIA Open Model Agreement. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Download reasoning parser before serving: wget "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8/resolve/main/super_v3_reasoning_parser.py" and pass --reasoning-parser-plugin "/plugins/super_v3_reasoning_parser.py" --reasoning-parser super_v3
Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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