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A sparse mixture-of-experts language model that activates just 3B parameters per token while drawing on 30B of learned knowledge, built from the ground up for agentic AI systems, production RAG pipelines, and long-context reasoning at scale.
One model. Four modalities. Zero fragmentation. NVIDIA's Nemotron 3 Nano Omni is an open multimodal reasoning model built to replace entire stacks of specialized perception models with a single, highly efficient inference loop.
A hybrid Mixture-of-Experts reasoning model that punches far above its active parameter count — running on just 12 billion active weights while drawing on the depth of 120 billion total parameters. Built for the realities of production-grade agentic systems.
NVIDIA Nemotron 3 Ultra is a reasoning and orchestration model built on a hybrid Transformer-Mamba Mixture-of-Experts architecture, optimized for complex reasoning, long-context analysis, and agent workflows with up to 1M context length.
A compact multimodal safety moderator, Nemotron 3.5 Content Safety classifies prompts, images, and optional responses as safe or unsafe, especially for AI input/output moderation.
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model with 3B active parameters out of 30B total, built for high-throughput agentic workloads and specialized task execution with up to 1M context length.
Nemotron 3.5 Content SafetyNVIDIA
