NVIDIA’s Chris Alexiuk champions open-source AI and Nemotron

In a profile published by NVIDIA, Chris Alexiuk, a senior product research engineer in deep learning, argues that open-source AI should provide access to model weights, training data and the recipes used to train models. On YouTube, he teaches thousands of people how to build, fine-tune, evaluate and deploy applications and agents based on large language models.

Alexiuk describes himself as the “No. 1 Nemotron Fan,” referring to NVIDIA’s family of open-source multimodal models for specialized, autonomous and long-running agents. He says the line serves everyone from individual developers using Nemotron 3.5 Lightning for repetitive, high-frequency execution work to companies using Nemotron Ultra for autonomous agents, deep research and enterprise tasks. His interest in machine learning began with a classifier that detected a friend’s pet bird on a webcam.