Lex Fridman Podcast
Jensen Huang is the co-founder and CEO of NVIDIA, the world’s most valuable company and the engine powering the AI computing revolution.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep494-sc
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
Transcript:
https://lexfridman.com/jensen-huang-transcript
CONTACT LEX:
Feedback – give feedback to Lex: https://lexfridman.com/survey
AMA – submit questions, videos or call-in: https://lexfridman.com/ama
Hiring – join our team: https://lexfridman.com/hiring
Other – other ways to get in touch: https://lexfridman.com/contact
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
SPONSORS:
To support this podcast, check out our sponsors & get discounts:
Perplexity: AI-powered answer engine.
Go to https://perplexity.ai/
Shopify: Sell stuff online.
Go to https://shopify.com/lex
LMNT: Zero-sugar electrolyte drink mix.
Go to https://drinkLMNT.com/lex
Fin: AI agent for customer service.
Go to https://fin.ai/lex
Quo: Phone system (calls, texts, contacts) for businesses.
Go to https://quo.com/lex
OUTLINE:
(00:00) – Introduction
(00:26) – Sponsors, Comments, and Reflections
(06:34) – Extreme co-design and rack-scale engineering
(09:20) – How Jensen runs NVIDIA
(28:41) – AI scaling laws
(43:41) – Biggest blockers to AI scaling laws
(45:25) – Supply chain
(47:20) – Memory
(53:25) – Power
(58:45) – Elon and Colossus
(1:02:13) – Jensen’s approach to engineering and leadership
(1:07:38) – China
(1:15:51) – TSMC and Taiwan
(1:21:06) – NVIDIA’s moat
(1:26:43) – AI data centers in space
(1:30:31) – Will NVIDIA be worth $10 trillion?
(1:40:40) – Leadership under pressure
(1:54:26) – Video games
(2:01:18) – AGI timeline
(2:03:31) – Future of programming
(2:17:02) – Consciousness
(2:23:23) – Mortality
PODCAST LINKS:
– Podcast Website: https://lexfridman.com/podcast
– Apple Podcasts: https://apple.co/2lwqZIr
– Spotify: https://spoti.fi/2nEwCF8
– RSS: https://lexfridman.com/feed/podcast/
– Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4
– Clips Channel: https://www.youtube.com/lexclips

#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI
Marcus Hutter is a senior research scientist at DeepMind and professor at Australian National University. Throughout his career of research, including with Jürgen Schmidhuber and Shane Legg, he has proposed a lot of interesting ideas…
#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
Michael I. Jordan is a professor at Berkeley, and one of the most influential people in the history of machine learning, statistics, and artificial intelligence. He has been cited over 170,000 times and has mentored…
#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and…
#72 – Scott Aaronson: Quantum Computing
Scott Aaronson is a professor at UT Austin, director of its Quantum Information Center, and previously a professor at MIT. His research interests center around the capabilities and limits of quantum computers and computational complexity…
Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences…
Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles
Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel. He’s known for his work on the AMD K7, K8, K12 and Zen microarchitectures, Apple A4, A5 processors, and…
David Chalmers: The Hard Problem of Consciousness
David Chalmers is a philosopher and cognitive scientist specializing in philosophy of mind, philosophy of language, and consciousness. He is perhaps best known for formulating the hard problem of consciousness which could be stated as…
Cristos Goodrow: YouTube Algorithm
Cristos Goodrow is VP of Engineering at Google and head of Search and Discovery at YouTube (aka YouTube Algorithm). This conversation is part of the Artificial Intelligence podcast. If you would like to get more information…
Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income
Paul Krugman is a Nobel Prize winner in economics, professor at CUNY, and columnist at the New York Times. His academic work centers around international economics, economic geography, liquidity traps, and currency crises. This conversation…
Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems
Ayanna Howard is a roboticist and professor at Georgia Tech, director of Human-Automation Systems lab, with research interests in human-robot interaction, assistive robots in the home, therapy gaming apps, and remote robotic exploration of extreme…
