NVIDIA Nemotron 3 Ultra 550B A55B BF16 is a frontier-scale Mixture-of-Experts reasoning model designed for advanced agentic workflows, long-context analysis, and high-accuracy reasoning across code, mathematics, science, and multilingual tasks. It features 550B total parameters with 55B active, utilizing a hybrid LatentMoE architecture that combines Mamba-2, MoE, and attention layers with multi-token prediction for efficient inference. The model uses an 8,192 hidden size and 64 attention heads, activating 22 experts per token across 512 routed experts and a shared expert. Supporting up to a 1M token context window, it is optimized for complex reasoning, tool use, large-scale document analysis, and high-stakes retrieval-augmented generation workloads.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16). Released under OpenMDW-1.1. Further reading: Blog
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1,440 GB
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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.