NVIDIA recently unveiled the Nemotron 3 family, and the big idea here is to make agentic AI more open, more efficient, and actually practical to deploy across real-world industries. Instead of pushing a single monolithic model, Nemotron 3 comes in Nano, Super, and Ultra variants, all built on a new hybrid latent mixture-of-experts architecture that’s designed to keep costs down while scaling up multi-agent workflows.
As teams move beyond simple chatbots into AI systems where multiple agents collaborate, these new models are a way to tackle issues like context drift, communication overhead, and runaway inference costs, while still giving developers the transparency they need to trust these systems.
At the model level, Nemotron 3 Nano targets efficiency first, activating just a fraction of its 30B parameters at a time and delivering up to 4x higher token throughput than Nemotron 2 Nano, while cutting reasoning-token generation by up to 60%. It also supports a massive 1M token context window, making it far better at long, multi-step tasks, which helped it earn top marks for openness and efficiency from Artificial Analysis.
Meanwhile, Nemotron 3 Super scales up for multi-agent reasoning with around 100B parameters, while Nemotron 3 Ultra pushes into heavyweight territory with roughly 500B parameters for deep research and strategic planning workloads, both trained using NVIDIA’s 4-bit NVFP4 format on Blackwell GPUs.
Organizations from Europe to South Korea are already adopting Nemotron as part of their sovereign AI strategies to align models with local data, regulations, and values. That openness is also why a long list of early adopters, including Accenture, ServiceNow, Siemens, Synopsys, and Perplexity, are already integrating Nemotron models into workflows spanning manufacturing, cybersecurity, software development, and media.
Beyond models, NVIDIA is also opening up the surrounding ecosystem through the release of 3T tokens worth of new training and reinforcement learning datasets, along with tools like NeMo Gym, NeMo RL, and NeMo Evaluator, all aimed at helping teams customize, train, and validate agentic AI systems more easily. These tools are already supported across popular frameworks and runtimes, and Nemotron 3 Nano is available today on platforms like Hugging Face, AWS via Amazon Bedrock, and multiple inference providers, with Super and Ultra expected in the first half of 2026.
