What is Nemotron?
Nemotron
Nemotron is a family of AI models developed by Nvidia, positioned as a strategic effort to ensure the company’s continued relevance in the AI landscape. The project is organized into about 20 distinct areas, each led by a designated ‘pilot in command.’ As of early 2026, the initiative has expanded to include teams that previously did not consider themselves core to the effort.
How it developed
- Feb 2026 - Bryan Catanzaro said the first job for Nemotron models is to make it possible for Nvidia to continue to exist as a company.
- Feb 2026 - Bryan Catanzaro said the project has about 20 different areas, each with a clear leader, called a ‘pilot in command.’
- Feb 2026 - Bryan Catanzaro said that a year ago, some teams wouldn’t have considered themselves part of the core Nemotron effort, but now they absolutely are.
- Jul 2026 - Jason Calacanis said that Nvidia’s Nemotron family, along with Google’s Gemma models, are not sufficient to replace what his company has from Deepseek, Zippu, Moonshot, and Quinn, and predicted many startups will end up betting on rolling their own models.
In the evidence
Every line below is attributed to a named speaker.
Bryan Catanzaro frames NVIDIA's open model releases as a survival imperative, not goodwill.
“That's kind of the first job for Neotron models is to make it possible for Nvidia to continue to exist as a company.”Bryan Catanzaro · 4 Feb 2026
NVIDIA's Nemotron project is structured across approximately 20 distinct areas, each led by a single designated 'pilot in command'.
“There's about 20 different areas for the project. Each of them has a clear leader, what we call a pilot in command.”Bryan Catanzaro · 4 Feb 2026
NVIDIA Parakeet (speech team) has been folded into the core Nemotron effort as language models increasingly need to consume audio data, signaling multimodal expansion of the Nemotron stack.
“I would say a year ago wouldn't have really considered themselves so much part of the core Neotron effort, but these days they absolutely are.”Bryan Catanzaro · 4 Feb 2026
US open-source models from Nvidia (Nemotron) and Google (Gemma) are not sufficient substitutes for Chinese open-weight models like Deepseek, Qwen, and Moonshot, leaving startups avoiding paid APIs with no reliable fallback.
“The models from Nvidia, the Neatron family, that the models from Google's Gemma family aren't sufficient to replace what we have from Deepseek, from Zippu, from Moonshot, from Quinn, and we're going to end up in a place where a lot of people are betting on rolling their own, especially startups that don't want to pay open margin for them, and they're just not going to have something to fall back on.”Jason Calacanis · 9 Jul 2026