Recorded live at NVIDIA GTC 2026, this episode dives into one of the biggest announcements in open AI: Nemotron Super.

Together with Joey Conway, we explore how NVIDIA is pushing open source AI forward — with models that are not only powerful, but also efficient and enterprise-ready.

We discuss:

• The evolution from Llama-based models to Nemotron

• Why reasoning + agentic capabilities matter

• How NVIDIA balances performance and efficiency

• What NVFP4 means for running AI locally

• And why this could be a turning point for AI behind the firewall

Chapters

00:00 Intro

01:56 Welcome

02:37 GTC insights

03:31 Nemotron buzz

04:53 Model evolution

07:14 Core design principles

09:05 Reasoning capabilities

10:52 Scaling challenges

12:00 Architecture deep dive

13:12 Performance improvements

14:14 Quantization strategy

15:39 NVFP4 explained

16:16 DGX Spark use case

18:23 Broader adoption

19:37 Agentic AI impact

21:25 Try it yourself

22:03 Outro

Links

• Try Nemotron: https://build.nvidia.com

• More episodes: https://johan.ml