Model ID
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Capabilities
Nemotron 3 Nano 30B A3B BF16
Nemotron 3 Nano 30B A3B BF16 is a hybrid Mixture-of-Experts (MoE) large language model built for both reasoning-intensive and general-purpose AI workloads. The model contains 30B total parameters with 3.5B active parameters, activating 6 experts per token across 128 routed experts and 1 shared expert. Architecturally, it features 52 layers combining MoE, Mamba-2 state space layers, and grouped query attention, with 32 attention heads and a 2,688 hidden size. Supporting up to a 1M token context window, it is optimized for configurable reasoning, agentic workflows, and commercial AI deployments.
About this model
Nemotron 3 Nano 30B A3B BF16 is a hybrid Mixture-of-Experts (MoE) large language model built for both reasoning-intensive and general-purpose AI workloads. The model contains 30B total parameters with 3.5B active parameters, activating 6 experts per token across 128 routed experts and 1 shared expert. Architecturally, it features 52 layers combining MoE, Mamba-2 state space layers, and grouped query attention, with 32 attention heads and a 2,688 hidden size. Supporting up to a 1M token context window, it is optimized for configurable reasoning, agentic workflows, and commercial AI deployments.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-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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