NVIDIA Engineer Chris Alexiuk Explains Open Models and Nemotron’s Agent Roles

NVIDIA published a profile of Chris Alexiuk on November 5, 2026. Alexiuk is a Toronto-based senior product research engineer in deep learning at NVIDIA. On YouTube, he teaches developers to build, fine-tune, evaluate and ship production LLM applications and agents.

Alexiuk argues that open AI involves more than model weights: it also requires access to training data and training recipes. The profile describes the NVIDIA Nemotron family as open-source multimodal models for long-running, self-evolving and specialized AI agents. Alexiuk says Nemotron 3.5 Lightning can take on repetitive, high-frequency execution work for individual developers, while Nemotron Ultra can serve company needs involving long-running autonomous agents, deep research and enterprise tasks. NVIDIA’s Nemotron 3.5 page describes Lightning as a text model with 30 billion total parameters and 3 billion active parameters.

The profile also notes that Alexiuk took part in the Build-a-Claw event at GTC Berlin, where he engaged with developers. The article connects open-model use cases with developer education and agent workflows; the model roles described are Alexiuk’s account, not new pricing or availability details.