NVIDIA Unveils Nemotron 3: Innovations in AI Model Efficiency and Accuracy

NVIDIA has announced the release of Nemotron 3, a significant advancement in AI systems designed to enhance the efficiency and accuracy of agentic AI models. According to NVIDIA, the Nemotron 3 series includes three variants—Nano, Super, and Ultra—each equipped with specialized datasets and techniques tailored for modern AI applications.

Breakthroughs in AI Architecture

The Nemotron 3 models introduce a hybrid Mamba-Transformer mixture-of-experts (MoE) architecture. This innovative approach integrates Mamba layers for efficient sequence modeling, Transformer layers for precision reasoning, and MoE routing to optimize computational efficiency. This combination allows the models to process large-scale data with minimal latency, making them ideal for applications requiring long-range reasoning and deep multi-document analysis.

Reinforcement Learning and Contextual Understanding

Nemotron 3 leverages reinforcement learning across various interactive environments to align the model with real-world agentic behavior. This training method enhances the model's ability to perform complex sequences of actions, such as generating tool calls and writing functional code. The extensive 1M-token context window further supports sustained reasoning across large datasets, enabling comprehensive analysis without context fragmentation.

Future Enhancements with Nemotron 3 Super and Ultra

Set to release in the first half of 2026, the Super and Ultra versions will introduce latent MoE, which allows more experts to be activated per token, and multi-token prediction (MTP) for improved throughput. These models will also utilize NVIDIA's NVFP4 training format, promising enhanced accuracy and efficiency in model training and inference.

Commitment to Open AI Development

NVIDIA continues its commitment to transparency and developer empowerment by releasing the model weights under the NVIDIA Open Model License. Developers can access detailed training and post-training recipes through the Nemotron GitHub repository, enabling them to customize and reproduce the models for specific applications.

The Nemotron 3 Nano is now available, providing a foundation for high-throughput, long-context agentic systems. Developers can utilize NVIDIA's open datasets and tools to train and fine-tune their models, fostering innovation and collaboration within the AI community.

For more details, visit the NVIDIA blog.