NVIDIA is redefining the AI landscape with its latest release, the Nemotron 3 family of open models. This innovative lineup features three distinct sizes designed to boost AI performance across a multitude of industries. From manufacturing to cybersecurity, these models promise to transform how companies develop and deploy AI solutions.
NVIDIA Unveils Nemotron 3 AI Models
NVIDIA recently introduced the Nemotron 3 family, which includes the Nano, Super, and Ultra models, each tailored for different levels of AI complexity. These models employ a groundbreaking hybrid latent mixture-of-experts architecture, enabling developers to create scalable, multi-agent systems. As organizations globally adopt these open and transparent models, NVIDIA’s efforts in sovereign AI are being realized, fostering AI systems that adhere to specific data, regulatory, and ethical standards.
Early adopters such as Accenture, Oracle Cloud Infrastructure, and Zoom are already integrating Nemotron models to supercharge AI workflows in various sectors. Startups find these models particularly useful for rapid iteration and deployment of AI agents.
Efficiency and Scalability with Nemotron 3
The Nemotron 3 family includes three sizes optimized for diverse AI applications:
– **Nemotron 3 Nano:** A 30-billion-parameter model for efficient, targeted tasks.
– **Nemotron 3 Super:** A model with approximately 100 billion parameters for high-accuracy reasoning in multi-agent environments.
– **Nemotron 3 Ultra:** A robust engine with about 500 billion parameters for complex applications.
Available now, Nemotron 3 Nano leads the way in cost-efficient computing, enhancing tasks like software debugging and content summarization with its hybrid MoE architecture. This model achieves remarkable efficiency, offering up to 4x higher token throughput than its predecessor and significantly reducing reasoning-token generation costs.
Artificial Analysis has recognized Nemotron 3 Nano for its openness and top-tier efficiency among models of similar size, citing its leading accuracy. The Super and Ultra models are designed for applications requiring collaborative agents and deep reasoning capabilities. These models leverage NVIDIA’s NVFP4 training format, optimizing memory use while accelerating training on existing infrastructure.
Getting Started with NVIDIA’s Open Models
Nemotron 3 Nano is now at your fingertips on platforms like Hugging Face and is supported by various inference service providers. It’s also compatible with enterprise AI infrastructure, including platforms like DataRobot and UiPath. Public clouds will soon offer Nemotron 3 Nano through AWS and Google Cloud, with Super and Ultra models expected in the first half of 2026.
For those on NVIDIA-accelerated infrastructure, Nemotron 3 Nano is available as a microservice for secure and scalable deployment, ensuring privacy and control. The Super and Ultra models will soon follow, expanding the toolkit available to developers aiming for cutting-edge AI solutions.