Model ID
nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16
Capabilities
Nemotron 3.5 Super VL 120B A12B BF16
Nemotron 3.5 Super VL 120B A12B is a multimodal hybrid Mixture-of-Experts model built for reasoning, coding, tool use, and document and video understanding. The model has 120B total parameters and 12B active, spread across 88 layers with 4,096 hidden size, 32 attention heads, and 2 KV heads. Its stack interleaves Mamba-2, LatentMoE, and attention layers, with each MoE layer activating 22 of 512 experts plus a shared expert. A C-RADIO vision encoder processes images and video within a 1M-token context, while Multi-Token Prediction enables native speculative decoding.
About this model
Nemotron 3.5 Super VL 120B A12B is a multimodal hybrid Mixture-of-Experts model built for reasoning, coding, tool use, and document and video understanding. The model has 120B total parameters and 12B active, spread across 88 layers with 4,096 hidden size, 32 attention heads, and 2 KV heads. Its stack interleaves Mamba-2, LatentMoE, and attention layers, with each MoE layer activating 22 of 512 experts plus a shared expert. A C-RADIO vision encoder processes images and video within a 1M-token context, while Multi-Token Prediction enables native speculative decoding.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16). Released under OpenMDW-1.1. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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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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