Models · 2026-11-05

NVIDIA Nemotron Open AI Models: What They Are and How to Learn Them

NVIDIA engineer Chris Alexiuk explains why open AI matters and describes the Nemotron model family, which people can study for free.

✨ Why open AI matters

Chris Alexiuk, a deep learning engineer at NVIDIA based in Toronto, believes open AI should be promoted loudly. He says openness is a condition for making the technology accessible to everyone. In his view, people should have access not only to a finished tool, but also to the model weights, the data used for training, and the training recipes.

Alexiuk teaches developers how to build applications based on large language models and AI agents. He publishes his lessons on YouTube.

📌 What Nemotron is

Nemotron is NVIDIA's family of open models. They can work with text and images, and they are designed for long-running, self-evolving and specialized AI agents.

Alexiuk explains that different tasks suit different models. For repetitive, high-frequency work he mentions Nemotron 3.5 Lightning. For long autonomous agents, deep research and complex enterprise tasks, he points to Nemotron Ultra.

🔹 How to start learning

If you want to understand the topic without programming experience, you can start with the NVIDIA Nemotron Labs Livestreams video series on YouTube, where Alexiuk and his colleagues discuss practical topics. He calls himself the "No. 1 Nemotron Fan" and shares tips on social media under the name Joe Nemotron, and on X his handle is llm_wizard.

Sources: 🔗 NVIDIA Blog