Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494
Why this one hits different
The man running the world's most valuable company explains how it actually works. On Lex Fridman Podcast #494, NVIDIA co-founder and CEO Jensen Huang goes deep on the hardware behind the AI boom.
Who is Jensen Huang?
Huang co-founded NVIDIA in 1993 and has led it ever since. Its chips, first built for video games, became the engine of the AI computing revolution and turned NVIDIA into the most valuable company in the world.
What's on the table
Jensen explains NVIDIA's "extreme co-design" and rack-scale engineering (designing chips, systems and software together), how he runs the company, AI scaling laws and the biggest obstacles to scaling AI further. The chapter list jumps to each section.
Why it's worth your time
Plenty of people talk about AI. Very few can explain the physical machines that make it possible, and Huang is one of them. Lex's engineering background keeps the conversation technical in the best way.
Quick answers
- When did Lex Fridman #494 come out?
- March 23, 2026.
- When was NVIDIA founded?
- 1993, by Jensen Huang and his co-founders.
More episodes: Lex Fridman.
Chapters
Episode notes from Lex Fridman
Jensen Huang is the co-founder and CEO of NVIDIA, the world's most valuable company and the engine powering the AI computing revolution.
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*Transcript:*
https://lexfridman.com/jensen-huang-transcript
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*EPISODE LINKS:*
NVIDIA: https://nvidia.com
NVIDIA on X: https://x.com/nvidia
NVIDIA AI on X: https://x.com/NVIDIAAI
NVIDIA on YouTube: https://youtube.com/@NVIDIA
NVIDIA on Instagram: https://www.instagram.com/nvidia/
NVIDIA on LinkedIn: https://www.linkedin.com/company/nvidia/
NVIDIA on Facebook: https://www.facebook.com/NVIDIA/
NVIDIA on GitHub: https://github.com/NVIDIA
Nemotron: https://developer.nvidia.com/nemotron
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*OUTLINE:*
0:00 – Introduction
0:33 – Extreme co-design and rack-scale engineering
3:18 – How Jensen runs NVIDIA
22:40 – AI scaling laws
37:40 – Biggest blockers to AI scaling laws
39:23 – Supply chain
41:18 – Memory
47:24 – Power
52:43 – Elon and Colossus
56:11 – Jensen's approach to engineering and leadership
1:01:37 – China
1:09:50 – TSMC and Taiwan
1:15:04 – NVIDIA's moat
1:20:41 – AI data centers in space
1:24:30 – Will NVIDIA be worth $10 trillion?
1:34:39 – Leadership under pressure
1:48:25 – Video games
1:55:16 – AGI timeline
1:57:29 – Future of programming
2:11:01 – Consciousness
2:17:22 – Mortality
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