NVIDIA’s release of the Nemotron 3 family of open models marks a significant turning point for agentic AI. Designed to move beyond traditional single-model chatbots, Nemotron 3 empowers developers to build transparent, efficient, and highly specialized multi-agent systems. This game-changing platform is set to meet the growing industry demand for scalable, customizable AI solutions that balance performance with cost efficiency.
What Sets Nemotron 3 Apart?
Nemotron 3 comes in three model sizes, Nano, Super, and Ultra, each optimized for different workloads and complexities. The standout, Nemotron 3 Nano, features a 30-billion-parameter hybrid latent mixture-of-experts (MoE) architecture. Impressively, it activates only 3 billion parameters per task, slashing resource usage while maintaining high throughput.
- Superior Throughput: The Nano model delivers up to 4x greater throughput compared to its predecessor, fueling large-scale multi-agent deployments with lower inference costs.
- Massive Context Window: A 1-million-token context window enables the model to handle tasks requiring long-term memory, driving accuracy for extended or complex workflows.
- Hybrid MoE Architecture: Targeted activation ensures high efficiency, reducing unnecessary computation without sacrificing quality.
- Scaling Up: The Super (100B parameters) and Ultra (500B parameters) models are tailored for advanced, collaborative applications. Both leverage NVIDIA’s 4-bit NVFP4 training on Blackwell architecture, ensuring fast, memory-efficient training and deployment.
Powerful Ecosystem for Developers and Enterprises
NVIDIA’s commitment goes beyond the models. Nemotron 3 is supported by a comprehensive suite of tools, datasets, and libraries, making it a complete environment for building agentic AI.
- Vast Training Data: Three trillion tokens of pretraining and reinforcement learning data, plus the Nemotron Agentic Safety Dataset, help teams build robust, domain-specialized agents.
- Open-Source Libraries: New releases like NeMo Gym, NeMo RL, and NeMo Evaluator provide resources for reinforcement learning, post-training, and benchmarking,all freely available on GitHub and Hugging Face.
- Enterprise and Startup Adoption: Industry leaders such as Accenture, Deloitte, and Palantir are already integrating Nemotron models, while startups in the NVIDIA Inception program use Nemotron 3 to innovate and scale rapidly.
Flexible Deployment and Broad Availability
Nemotron 3 Nano is immediately accessible via Hugging Face and leading inference platforms, making it easy for developers to get started. It’s also compatible with LM Studio, llama.cpp, SGLang, vLLM, and major cloud providers including AWS, Google Cloud, and Microsoft Azure. For organizations needing extra security and control, Nemotron 3 Nano can be deployed as an NVIDIA NIM microservice on NVIDIA-accelerated infrastructure. The Super and Ultra models are scheduled for release in early 2026, expanding options for advanced agentic systems.
Get Started With NVIDIA Open Models
Nemotron 3 Nano is available today on Hugging Face and through inference service providers including Baseten, DeepInfra, Fireworks, FriendliAI, OpenRouter and Together AI.
Championing Sovereign, Responsible AI
Nemotron 3 embodies NVIDIA’s vision for sovereign AI, equipping organizations to develop solutions aligned with their own data, regulatory requirements, and ethical standards. Its open, transparent architecture is already winning support in regions like Europe and South Korea, signaling a global move toward more responsible and adaptable AI.
Setting the Benchmark for Open AI
NVIDIA’s Nemotron 3 redefines expectations for open AI, offering powerful models, robust tools, and expansive datasets in one platform. Whether you’re a startup or a global enterprise, Nemotron 3 provides the transparency, efficiency, and scalability needed to drive the next era of agentic AI innovation.
Nemotron 3: NVIDIA’s Leap Forward in Open, Agentic AI