Model ID
nvidia/Nemotron-Cascade-2-30B-A3B
Capabilities
Nemotron Cascade 2 30B A3B
Nemotron Cascade 2 30B A3B is an open-weight Mixture-of-Experts (MoE) language model built on Nemotron 3 Nano 30B A3B Base. It contains 30B total parameters with 3B active parameters, activating 6 experts per token across 128 routed experts plus 1 shared expert. The model employs a 52-layer hybrid architecture with Mamba-SSM and MoE layers, 32 attention heads, and a 2,688 hidden size. Supporting a 262K token context window, it introduces multi-domain on-policy distillation within Cascade RL to maximize reasoning, agentic performance, and benchmark recovery across complex tasks.
About this model
Nemotron Cascade 2 30B A3B is an open-weight Mixture-of-Experts (MoE) language model built on Nemotron 3 Nano 30B A3B Base. It contains 30B total parameters with 3B active parameters, activating 6 experts per token across 128 routed experts plus 1 shared expert. The model employs a 52-layer hybrid architecture with Mamba-SSM and MoE layers, 32 attention heads, and a 2,688 hidden size. Supporting a 262K token context window, it introduces multi-domain on-policy distillation within Cascade RL to maximize reasoning, agentic performance, and benchmark recovery across complex tasks.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/Nemotron-Cascade-2-30B-A3B). 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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