Model ID
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Capabilities
Nemotron 3 Super 120B A12B BF16
Nemotron 3 Super 120B A12B BF16 is a hybrid Mixture-of-Experts reasoning model developed by NVIDIA for large-scale agentic workflows and long-context reasoning. It features a 120B parameter architecture with ~12B active parameters, built on an 88-layer hybrid backbone combining Mamba-2 sequence layers, Transformer attention, and Latent MoE routing with 512 experts. The model incorporates Multi-Token Prediction (MTP) for faster generation and supports up to a 1M token context window, enabling efficient long-horizon reasoning, multi-agent coordination, and large-scale retrieval tasks.
About this model
Nemotron 3 Super 120B A12B BF16 is a hybrid Mixture-of-Experts reasoning model developed by NVIDIA for large-scale agentic workflows and long-context reasoning. It features a 120B parameter architecture with ~12B active parameters, built on an 88-layer hybrid backbone combining Mamba-2 sequence layers, Transformer attention, and Latent MoE routing with 512 experts. The model incorporates Multi-Token Prediction (MTP) for faster generation and supports up to a 1M token context window, enabling efficient long-horizon reasoning, multi-agent coordination, and large-scale retrieval tasks.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16). Released under nvidia-open-model-license. Further reading: Paper · 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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