Nemotron 3 Nano: A New Standard for Efficient, Open, and Intelligent Models (huggingface.co)

NVIDIA has announced the Nemotron 3 Nano, a powerful new AI model designed to bridge the gap between performance and efficiency for multi-agent systems, which are expected to dominate AI applications by 2026. This model leverages a hybrid Mamba-Transformer Mixture-of-Experts (MoE) architecture, offering a remarkable 1M-token context window and a total of 31.6 billion parameters, with about 3.6 billion active parameters per token. Its architecture allows for swift, high-throughput performance—up to 4x faster than its predecessor—and delivers best-in-class accuracy across advanced reasoning and multi-step tasks. The significance of Nemotron 3 Nano lies in its ability to optimize inference costs while maintaining robust reasoning capabilities, enabling developers to create scalable, reliable AI agents for complex workflows. Enhanced with extensive open training data and an innovative reinforcement learning setup through the newly established NeMo Gym, this model supports diverse applications, from coding and math to tool-use and conversational tasks. Additionally, NVIDIA has addressed safety concerns by releasing a dataset for agentic safety, providing essential resources for developers aiming to mitigate risks in powerful AI systems as they advance in their applications.