Nvidia Launches Nemotron 3 Open-Source AI Models
The launch of the Nemotron 3 family marks a significant shift toward open-source agentic AI. These models utilize a hybrid latent mixture-of-experts architecture to improve transparency and efficiency for developers. Consequently, startups can now transition from initial prototypes to full enterprise deployments with greater speed.
Model Variations and Performance
The family includes three distinct sizes to meet various industrial needs. Specifically, Nemotron 3 Nano features 30 billion parameters and is available for immediate use. Because it only activates 3 billion parameters at a time, it drastically reduces inference costs for software debugging and summarization. Furthermore, this model supports a 1-million-token context window, which helps it maintain accuracy during long tasks.
“Open innovation is the foundation of AI progress. With Nemotron, we’re transforming advanced AI into an open platform that gives developers the transparency and efficiency they need to build agentic systems at scale,” said Jensen Huang, founder and CEO of Nvidia.
Future Availability and Scalability
While the Nano version is out now, the Super and Ultra models will arrive in the first half of 2026. Nemotron 3 Super targets multi-agent applications that require low latency and high-accuracy reasoning. Meanwhile, the Ultra version acts as a massive reasoning engine with 500 billion parameters for complex strategic planning. Both upcoming models leverage the 4-bit NVFP4 training format to cut memory requirements significantly.
Global Impact and Industry Adoption
Major organizations already integrate these tools to power their unique digital workflows. For instance, companies in cybersecurity and manufacturing use these models to align AI systems with specific regional regulations. Since the models are open, they support sovereign AI efforts across Europe and Asia. Ultimately, these tools allow developers to choose the exact model size required for their specific workload.
