Jensen Huang is the founder, president, and CEO of NVIDIA, the company whose 1999 invention of the GPU helped transform gaming, computer graphics, and accelerated computing. Under his leadership, NVIDIA has grown into a full-stack computing infrastructure company reshaping AI and data-center technology across industries.www.nvidia.com www.youtube.com/nvidia Perplexity: Download the app or ask Perplexity anything at https://pplx.ai/rogan. Visible. Live in the know. Join today at https://www.visible.com/rogan Don’t miss out on all the action - Download the DraftKings app today! Sign-up at https://dkng.co/rogan or with my promo code ROGAN GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $200 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Token expires 1/11/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 1/4/26 at 11:59 PM ET. Sponsored by DK. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Chapter 1: What is discussed at the start of this section?
Joe Rogan Podcast, check it out. The Joe Rogan Experience.
Train by day, Joe Rogan Podcast by night, all day.
Good to see you again. We were just talking about, was that the first time we ever spoke? Or was the first time we spoke at SpaceX? SpaceX. SpaceX the first time. When you were giving Elon that crazy AI chip. Right, DGX Spark. Yeah, ooh, that was a big moment. That was a huge moment. That felt crazy to be there. It was like watching these wizards of tech exchange ideas.
information and you're giving him this crazy device. And then the other time was I was shooting arrows in my backyard and randomly get this call from Trump and he's hanging out with you. President Trump and I called you. We were talking about you.
He was talking about the UFC thing he was going to do in his front yard. Yeah. And he pulls out. He said, Jensen, look at this design.
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Chapter 2: What significant moment involved Elon Musk and AI technology?
He's so proud of it. And I go, you're going to have a fight in the front lawn in the White House? He goes, yeah. Yeah, you're going to come. This is going to be awesome. And he's showing me his design and how beautiful it is. And he goes, and somehow your name comes up. He goes, do you know Joe? And I said, yeah. I'm going to be on his podcast. He said, let's call him.
He's like a kid.
I know.
Let's call him. He's like a 79-year-old kid. He's so incredible. Yeah, he's an odd guy. Just very different. You know, like what you'd expect from him, very different than what people think of him, and also just very different as a president. A guy who just calls you or texts you out of the blue. Also, when he texts you, you have an Android, so it won't go through with you.
But with my iPhone, he makes the text go big. Is that right? USA is respected again. All caps and it makes the text enlarge. It's kind of ridiculous.
Well, the one-on-one Trump, President Trump is very different. He surprised me. First of all, he's an incredibly good listener. Almost everything I've ever said to him, he's remembered.
Yeah, people only want to look at negative stories about him or negative narratives about him. You can catch anybody on a bad day. There's a lot of things he does where I don't think he should do. I don't think he should say to a reporter, quiet piggy. That's pretty ridiculous. objectively funny. I mean, it's unfortunate that it happened to her.
I wouldn't want that to happen to her, but it was funny. Just ridiculous that the president does that. I wish he didn't do that. But other than that, like, he's an interesting guy. Like, he's a lot of different things wrapped up into one person, you know?
You know, part of his charm, well, part of his genius is he says what's on his mind.
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Chapter 3: What insights does Jensen Huang share about President Trump's communication style?
We need energy growth. We want to reindustrialize the United States. We need to be back in manufacturing. Every successful person doesn't need to have a PhD. Every successful person doesn't have to have gone to Stanford or MIT. And I think that that sensibility is spot on.
Now, when we're talking about technology growth and energy growth, there's a lot of people that go, oh, no, that's not what we need. We need to simplify our lives and get back. But the real issue is that we're in the middle of a giant technology race. And whether people are aware of it or not, whether they like it or not, it's happening.
And it's a really important race because whoever gets to – whatever the event horizon of artificial intelligence is, whoever gets there first has massive advantages in a huge way. Do you agree with that?
Well, first the part, I will say that we are in a technology race and we are always in a technology race. We've been in a technology race with somebody forever. Since the Industrial Revolution, we've been in a technology race. Since the Manhattan Project. Or even going back to the discovery of energy. The United Kingdom was where the Industrial Revolution was, if you will, invented.
When they realized that they can turn steam and such into energy, into electricity. All of that was invented largely in Europe. And the United States capitalized on it. We were the ones that learned from it. We industrialized it. We diffused it faster than anybody in Europe. They were all stuck in discussions about policy and jobs and disruptions. Meanwhile, the United States was forming.
We just took the technology and ran with it. And so I think we were always in a bit of a technology race. World War II was a technology race. Manhattan Project was a technology race. We've been in the technology race ever since during the Cold War. I think we're still in a technology race. It is probably the single most important race.
It is the technology is it gives you superpowers, you know, whether it's information superpowers or energy superpowers or military superpowers is all founded in technology. And so technology leadership is really important. Well, the problem is if somebody else has superior technology, right?
Yeah. That's the issue. That's right. It seems like with the AI race, people are very nervous about it. Like, you know, Elon has famously said there was like 80% chance it's awesome, 20% chance we're in trouble. And people are worried about that 20%, rightly so. I mean, you know, if you had...
ten bullets in a Revolver and you know you're you took out eight of them You still have to want to in there and you spin it you're not gonna feel real comfortable when you pull that trigger It's terrifying right and when we're working towards this ultimate goal of AI It just it's Impossible to imagine that it wouldn't be of national security interest to get there first I
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Chapter 4: How does Jensen Huang view the future of AI and its implications?
But that's the, there's arguments about that, right? That we're dealing with some sort of synthetic biology, that it's not as simple as new technology, that you're creating a life form.
Well, if it's like life form. Let's go along with that for a while. I think if it's like life form, as you know, all life forms don't agree. And so I'm going to have to go with your life form and my life form are going to agree because my life form is going to want to be the super life form. And now that we have disagreeing life forms, we're back again to where we are.
Well, they would probably cooperate with each other. The reason why we don't cooperate with each other is we're territorial primates. But AI wouldn't be a territorial primate. It would realize the folly in that sort of thinking, and it would say, listen, there's plenty of energy for everybody. We don't need to dominate. We're not trying to acquire resources and take over the world.
We're not looking to find a good breeding partner. We're just... Existing as a new super life form that these cute monkeys created for us.
Okay. Well, that would be a superpower with no ego. Right. And if it has no ego... Why would it have to ego to do any harm to us?
Well, I don't assume that it would do harm to us. But the fear would be that we would no longer have control and that we would no longer be the apex species on the planet. This thing that we created would now be. Is that funny? No. I just think it's not going to happen. I know you think it's not going to happen, but it could, right? It could, yeah. Here's the other thing.
It's like if we're racing towards could, and could could be the end of human beings being in control of our own destiny. I just think it's extremely unlikely. That's what they said in the Terminator movie. And it hasn't happened. No, not yet, but you guys are working towards it. The thing about, you're saying about conscience and sentience, that you don't think that AI will achieve consciousness?
Or that consciousness is specific? What's the definition of consciousness? What is the definition to you? Consciousness... I guess first of all, you need to know about your own existence. You have to have experience, not just knowledge and intelligence.
the concept of a machine having an experience, I'm not, well, first of all, I don't know what defines experience, why we have experiences and why this microphone doesn't. And so I think I know, well, I think I know what consciousness is. The sense of experience, the ability to know self versus, the ability to be able to reflect, know our own self, the sense of ego.
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Chapter 5: What insights does Jensen Huang share about NVIDIA's growth and technology evolution?
Yeah. It was, it was really a great, great moment.
Oh yeah. There you go. Yeah. That's it. Look at you bro. Same jacket. Look at that. I haven't aged. Not a lick of black hair, though. The size of it is significantly smaller. That was the other day at SpaceX. Okay, so there you go. Yeah, look at the difference. That's crazy. Exactly the same industrial design. He's holding it in his hand.
Here's the amazing thing. DGX-1 was one petaflops, okay?
Chapter 6: How did Jensen Huang navigate challenges at NVIDIA?
That's a lot of flops. And DGX-Spark is one petaflops. Nine years later. Wow. The same amount of computing horsepower. In a much smaller. Shrunken down. Yeah. And instead of $300,000, it's now $4,000. And it's the size of a small book. Incredible.
Crazy.
That's how technology moves. Anyways, that's the reason why I wanted to give him the first one. Because I gave him the first one in 2016.
It's so fascinating. I mean, if you wanted to make a story for a film, I mean, that would be the story that, like, what better scenario... If it really does become a digital life form, how funny would it be that it is birthed out of the desire for computer graphics for video games? Exactly. It's kind of crazy. Yeah. Kind of crazy when you think about it that way. Because...
It's a perfect origin story. Computer graphics was one of the hardest supercomputer problems. Generating reality is hard.
And also one of the most profitable to solve because computer games are so popular.
When NVIDIA started in 1993, we were trying to create this new computing approach. The question is, what's the killer app? And The company wanted to create a new type of computing architecture, a new type of computer that can solve problems that normal computers can't solve.
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Chapter 7: What personal experiences shaped Jensen Huang's perspective on success?
Well, the applications that existed in the industry in 1993 are applications that normal computers can solve because if the normal computers can't solve them, why would the application exist? And so we had a mission statement for a company that has no chance of success. But I didn't know that in 1993. It just sounded like a good idea. Right.
And so if we created this thing that can solve problems, it's like you actually have to go create the problem. And so that's what we did. In 1993, there was no quake. John Carmack hadn't even released Doom yet. You probably remember that. Sure. Yeah. And there were no applications for it. And so I went to Japan because the arcade industry had this, at the time of Sega, if you remember. Sure.
The arcade machines, they came out with 3D arcade systems. Virtual Fighter, Daytona, Virtual Cop. All of those arcade games were in 3D for the very first time. And the technology they were using was from Martin Marietta. The flight simulators, they took the guts out of a flight simulator and put it into an arcade machine.
The system that you have over here, it's got to be a million times more powerful than that arcade machine. And that was a flight simulator for NASA. Whoa. And so they took the guts out of that. They were using it for flight simulation with jets and space shuttle. And they took the guts out of that. And Sega had this brilliant computer developer. His name was Yu Suzuki.
Yu Suzuki and Miyamoto, Sega and Nintendo, these were the incredible pioneers, the visionaries, the incredible artists. And they're both very, very technical.
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Chapter 8: How does Jensen Huang view the relationship between technology and opportunity?
They were the origins really of the gaming industry. And Yu Suzuki pioneered 3D graphics gaming. And so I went, we created this company and there were no apps. And we were spending all of our afternoons. We told our family we were going to work, but it was just the three of us. Who's gonna know? And so we went to Curtis's, one of the founders, went to Curtis's townhouse.
And Chris and I were married. We have kids. I already had Spencer and Madison. They were probably two years old. And Chris's kids are about the same age as ours. And we would go to work in this townhouse. But when you're a startup, and the mission statement is the way we described, you're not going to have too many customers calling you. And so we had really nothing to do.
And so after lunch, we would always have a great lunch. After lunch, we would go to the arcades and play the Sega Virtua Fighter and Daytona and all those games and analyze how they're doing it, trying to figure out how they were doing that. And so we decided, let's just go to Japan and let's convince Sega to move those applications into the PC.
And we would start the PC gaming, the 3D gaming industry, partnering with Sega. That's how NVIDIA started.
Wow.
And so in exchange for them developing their games for our computers in the PC, we would build a chip for their game console. That was the partnership. I build a chip for your game console. You port the Sega games to us. And... And then they paid us, at the time, quite a significant amount of money to build that game console. And that was kind of the beginning of NVIDIA getting started.
And we thought we were on our way. And so I started with a business plan, a mission statement that was impossible. We lucked into the Sega partnership. We started taking off, started building our game console. And about a couple years into it, we discovered our first technology didn't work. It was, it would have been a flaw. It was a flaw. And all of the technology ideas that we had
The architecture concepts were sound, but the way we were doing computer graphics was exactly backwards. I won't bore you with the technology, but instead of inverse texture mapping, we were doing forward texture mapping. Instead of triangles, we did curved surfaces. So other people did it flat. We did it round.
Other technology, the technology that ultimately won, the technology we use today has Z buffers. It automatically sorted. We had an architecture with no Z buffers. The application had to sort it. And so we chose a bunch of technology approaches that three major technology choices, all three choices were wrong. Okay, so this is how incredibly smart we were.
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