NVIDIA launched Nemotron 3 Super, a 120-billion-parameter open-source model with 12 billion active parameters designed specifically for running complex agentic AI systems at scale. The model emphasizes efficiency and advanced reasoning for autonomous agents that need to complete multi-step tasks with high accuracy.

Nemotron 3 Super is immediately available and targets enterprises building custom AI agents for internal operations. The efficiency focus—achieving high performance with fewer active parameters—addresses the cost and latency challenges that have limited deployment of large models for agent applications.

What This Means for Your Business

For enterprises building internal AI agents to automate workflows, business processes, or customer interactions, Nemotron 3 Super provides an open-source option that reduces dependency on proprietary models and vendor pricing. The efficiency gains translate to lower inference costs and faster response times. Organizations should evaluate whether open-source options like this provide sufficient performance for your use cases compared to closed-source alternatives, particularly as deployment costs become a critical differentiator.