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NVIDIA CEO JENSEN HUANG: IT ALL STARTED WITH GAMERS Jensen looked back on NVIDIA’s wild beginning, describing how the company’s rise to global tech dominance began with one mission, make games look incredible. He said the company wasn’t founded to chase every market, but to serve one audience with...

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36,703 views • 8 months ago •via X (Twitter)

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🇺🇸 NVIDIA CEO JENSEN HUANG: WE HAD TO INVENT THE COMPUTER BEFORE THE PROBLEM EXISTED Jensen reflected on Nvidia’s early days, revealing how the company’s mission in 1993 seemed almost impossible, building a computer for problems that didn’t yet exist. He said they had to “create the problem” before they could solve it, a gamble that shaped modern computing: “When Nvidia started in 1993, we were trying to create this new computing approach. The question is, what’s the killer app? The company wanted to create a new type of computer that could solve problems normal computers couldn’t. But the applications that existed in 1993 were ones that normal computers could solve. We had a mission statement for a company that had no chance of success. I didn’t know that in 1993. It just sounded like a good idea.” Source: Joe Rogan
3:30

🇺🇸 NVIDIA CEO JENSEN HUANG: WE HAD TO INVENT THE COMPUTER BEFORE THE PROBLEM EXISTED Jensen reflected on Nvidia’s early days, revealing how the company’s mission in 1993 seemed almost impossible, building a computer for problems that didn’t yet exist. He said they had to “create the problem” before they could solve it, a gamble that shaped modern computing: “When Nvidia started in 1993, we were trying to create this new computing approach. The question is, what’s the killer app? The company wanted to create a new type of computer that could solve problems normal computers couldn’t. But the applications that existed in 1993 were ones that normal computers could solve. We had a mission statement for a company that had no chance of success. I didn’t know that in 1993. It just sounded like a good idea.” Source: Joe Rogan

Mario Nawfal

19,268 views • 8 months ago

Jensen Huang just told the story of how the AI revolution started with one customer, one box, and a second-floor room nobody thought twice about. Nobody on Earth wanted it. Huang: “When I announced this thing, nobody in the world wanted it. I had no purchase orders. Not one.” Nvidia had spent billions building the DGX-1. The first AI supercomputer purpose-built for deep learning. $300,000 per unit. The entire technology industry looked at it and passed. Every hyperscaler. Every research lab. Every Fortune 500 with a machine learning team. Not one purchase order. Then Elon Musk found Huang at a fireside chat in 2015. Huang: “He goes, ‘You know what? I have a company that could really use this.’” His first customer. His only customer. Then Musk finished the sentence. Huang: “He goes, ‘It’s a non-profit company.’ And all the blood drained out of my face.” Billions in R&D. A $300,000 machine. And the one person on Earth who wanted it could not pay for it. Huang built it anyway. Huang: “I boxed one up. I drove it up to San Francisco and I delivered it to Elon in 2016.” Not shipped. Not handed off to a freight company. The CEO of Nvidia personally boxed the first AI supercomputer and drove it to San Francisco himself. That is not a delivery. That is a bet. Huang: “I walked up to the second floor where they were all kind of in a room. That place turned out to have been OpenAI.” Pieter Abbeel was there. Ilya Sutskever was there. A handful of researchers, one supercomputer, and a room nobody outside that building could have named. No campus. No valuation. No infrastructure. Just raw talent and one machine the rest of the world had already rejected. Huang: “Just a bunch of people in a room.” That room built ChatGPT. That room triggered a $200 billion industry. That room forced every government on Earth to rethink national security. It started because one founder saw what the entire market refused to see, and one CEO drove the weapon there himself. The trillion-dollar AI industry did not begin in a boardroom. It began with a box in the back of a car, a non-profit that could not afford it, and a bet that every serious person in technology thought was insane. The market was unanimous. The market was wrong.
1:41

Jensen Huang just told the story of how the AI revolution started with one customer, one box, and a second-floor room nobody thought twice about. Nobody on Earth wanted it. Huang: “When I announced this thing, nobody in the world wanted it. I had no purchase orders. Not one.” Nvidia had spent billions building the DGX-1. The first AI supercomputer purpose-built for deep learning. $300,000 per unit. The entire technology industry looked at it and passed. Every hyperscaler. Every research lab. Every Fortune 500 with a machine learning team. Not one purchase order. Then Elon Musk found Huang at a fireside chat in 2015. Huang: “He goes, ‘You know what? I have a company that could really use this.’” His first customer. His only customer. Then Musk finished the sentence. Huang: “He goes, ‘It’s a non-profit company.’ And all the blood drained out of my face.” Billions in R&D. A $300,000 machine. And the one person on Earth who wanted it could not pay for it. Huang built it anyway. Huang: “I boxed one up. I drove it up to San Francisco and I delivered it to Elon in 2016.” Not shipped. Not handed off to a freight company. The CEO of Nvidia personally boxed the first AI supercomputer and drove it to San Francisco himself. That is not a delivery. That is a bet. Huang: “I walked up to the second floor where they were all kind of in a room. That place turned out to have been OpenAI.” Pieter Abbeel was there. Ilya Sutskever was there. A handful of researchers, one supercomputer, and a room nobody outside that building could have named. No campus. No valuation. No infrastructure. Just raw talent and one machine the rest of the world had already rejected. Huang: “Just a bunch of people in a room.” That room built ChatGPT. That room triggered a $200 billion industry. That room forced every government on Earth to rethink national security. It started because one founder saw what the entire market refused to see, and one CEO drove the weapon there himself. The trillion-dollar AI industry did not begin in a boardroom. It began with a box in the back of a car, a non-profit that could not afford it, and a bet that every serious person in technology thought was insane. The market was unanimous. The market was wrong.

Dustin

25,119 views • 4 months ago

Today, NVIDIA is widely recognized as the most consequential technology company in the world. But when Founder and CEO Jensen Huang hatched the idea more than three decades ago, it was viewed as little more than an incredibly risky bet on a new approach to computing. How did Huang, an immigrant from working class roots in Taiwan, build this company into what it is today? In the first installment of the Hoover Institution's Only in America series, Condoleezza Rice sits down with Huang to explore why his rise—and that of NVIDIA—couldn't have happened anywhere else. 04:42 Jensen Huang's journey to the US 07:54 Jensen's experience at boarding school in Kentucky 14:23 How Jensen came to Silicon Valley 17:23 Founding NVIDIA 23:40 The evolution and growth of NVIDIA 27:08 Sustaining motivation amid challenges 29:01 America's exceptional tech sector 32:28 Why Huang is a "cautious optimist" on AI 35:10 Jensen Huang's Only in America story
39:37

Today, NVIDIA is widely recognized as the most consequential technology company in the world. But when Founder and CEO Jensen Huang hatched the idea more than three decades ago, it was viewed as little more than an incredibly risky bet on a new approach to computing. How did Huang, an immigrant from working class roots in Taiwan, build this company into what it is today? In the first installment of the Hoover Institution's Only in America series, Condoleezza Rice sits down with Huang to explore why his rise—and that of NVIDIA—couldn't have happened anywhere else. 04:42 Jensen Huang's journey to the US 07:54 Jensen's experience at boarding school in Kentucky 14:23 How Jensen came to Silicon Valley 17:23 Founding NVIDIA 23:40 The evolution and growth of NVIDIA 27:08 Sustaining motivation amid challenges 29:01 America's exceptional tech sector 32:28 Why Huang is a "cautious optimist" on AI 35:10 Jensen Huang's Only in America story

Hoover Institution

122,733 views • 2 months ago

Jensen Huang reflects on how SEGA saved Nvidia back in 1995 as the companies celebrate their 30-year partnership anniversary. "At one point, I had to fly to Japan and explain to SEGA's CEO that the technology they contracted us to build would not work. Asked to be released from a contract we could not complete, and then asked that they still pay us ... It was embarrassing and one of the hardest things I have ever done," Jensen Huang said.
1:14

Jensen Huang reflects on how SEGA saved Nvidia back in 1995 as the companies celebrate their 30-year partnership anniversary. "At one point, I had to fly to Japan and explain to SEGA's CEO that the technology they contracted us to build would not work. Asked to be released from a contract we could not complete, and then asked that they still pay us ... It was embarrassing and one of the hardest things I have ever done," Jensen Huang said.

Yahoo Finance

54,396 views • 1 month ago

🇺🇸🇨🇳 NVIDIA’s Jensen Huang calls for direct talks with China to stop AI misuse. "First of all, the way to solve that problem is to have dialogues with researchers, dialogues with China, and dialogues with all countries to make sure that people don’t use technology in that way. That’s a dialogue that has to happen.” Source: Steven Adler
4:18

🇺🇸🇨🇳 NVIDIA’s Jensen Huang calls for direct talks with China to stop AI misuse. "First of all, the way to solve that problem is to have dialogues with researchers, dialogues with China, and dialogues with all countries to make sure that people don’t use technology in that way. That’s a dialogue that has to happen.” Source: Steven Adler

Mario Nawfal

25,186 views • 4 months ago

Jensen Huang explains how he designed NVIDIA from first principles “With respect to building a company, the first thing you have to do—as with all problems—is start from first principles. What is this machine that we’re trying to create? What is its input? What is its output? What are the conditions that it’s in? What is the industry like? Is it a fast moving industry? Is it a bureaucratic industry? Is it a highly regulated industry? And what are you trying to build?” Thinking about it from this perspective, there were several things Jensen wanted to do with the company: “I wanted to create a company that naturally attracts amazing people, and the reason for that is our company’s mission is to solve computing problems that are barely possible.” He also wanted a company that was “as small as possible” and “empowered people.” “If you want an organization that obeys command and control, then you make it a pyramid just like the military—all the way back to the Roman Empire. But If you want to empower people, you want to make it as flat as possible so that information travels quickly.” He continues: “We also don’t have business units. We don’t have divisions. Everybody works as one, and the company is shaped in a way that allows us to build accelerated computing best.” Video source: Sana (2023)
1:56

Jensen Huang explains how he designed NVIDIA from first principles “With respect to building a company, the first thing you have to do—as with all problems—is start from first principles. What is this machine that we’re trying to create? What is its input? What is its output? What are the conditions that it’s in? What is the industry like? Is it a fast moving industry? Is it a bureaucratic industry? Is it a highly regulated industry? And what are you trying to build?” Thinking about it from this perspective, there were several things Jensen wanted to do with the company: “I wanted to create a company that naturally attracts amazing people, and the reason for that is our company’s mission is to solve computing problems that are barely possible.” He also wanted a company that was “as small as possible” and “empowered people.” “If you want an organization that obeys command and control, then you make it a pyramid just like the military—all the way back to the Roman Empire. But If you want to empower people, you want to make it as flat as possible so that information travels quickly.” He continues: “We also don’t have business units. We don’t have divisions. Everybody works as one, and the company is shaped in a way that allows us to build accelerated computing best.” Video source: Sana (2023)

Startup Archive

63,921 views • 10 months ago

NVIDIA CEO: “CHINA IS MOVING INCREDIBLY FAST IN AI” Jensen Huang said China is accelerating AI on all fronts - infrastructure, models, and real-world applications: "China is fast to both invent a new technology, but also to integrate the technology, to apply the technology. And because there's so much competition in China, everybody wants to build a great company and wants to succeed, a lot of great capabilities come out. And at the foundation of all of that is China's education system has produced some of the world's finest AI researchers - about 50% of the world's AI researchers are based here in China." Source:
1:40

NVIDIA CEO: “CHINA IS MOVING INCREDIBLY FAST IN AI” Jensen Huang said China is accelerating AI on all fronts - infrastructure, models, and real-world applications: "China is fast to both invent a new technology, but also to integrate the technology, to apply the technology. And because there's so much competition in China, everybody wants to build a great company and wants to succeed, a lot of great capabilities come out. And at the foundation of all of that is China's education system has produced some of the world's finest AI researchers - about 50% of the world's AI researchers are based here in China." Source:

Mario Nawfal

1,018,768 views • 1 year ago

Jensen Huang: Elon is superhuman. What he and the xAI team achieved is unbelievable. NVIDIA's CEO reflects on Elon Musk and the xAI team building Colossus, the world's fastest supercomputer, in just 19 days. He says any other company would take a full year. “Building a massive factory, liquid-cooled, energized, permitted, in the short time that was done, that is superhuman. And, as far as I know, there's only one person in the world who could do that. Elon is singular in this understanding of engineering and construction and large systems, marshaling resources. It's unbelievable. And then, of course, his engineering team is extraordinary. The software team is great, the networking team is great, the infrastructure team is great. Elon understands this deeply. And from the moment that we decided to go, the planning with our engineering team, then all of the infrastructure, all of the logistics and the amount of technology and equipment that came in on that day, to training, 19 days. Incredible. So, I think what Elon and the X team did is singular. Never been done before. Just to put in perspective, 100,000 GPUs, that's easily the fastest supercomputer on the planet, as one cluster. A supercomputer that you would build would take normally three years to plan, and then they deliver the equipment, and it takes one year to get it all working. We're talking about 19 days.” Jensen Huang, CEO of NVIDIA, Bg2 Pod, October 13, 2024
1:30

Jensen Huang: Elon is superhuman. What he and the xAI team achieved is unbelievable. NVIDIA's CEO reflects on Elon Musk and the xAI team building Colossus, the world's fastest supercomputer, in just 19 days. He says any other company would take a full year. “Building a massive factory, liquid-cooled, energized, permitted, in the short time that was done, that is superhuman. And, as far as I know, there's only one person in the world who could do that. Elon is singular in this understanding of engineering and construction and large systems, marshaling resources. It's unbelievable. And then, of course, his engineering team is extraordinary. The software team is great, the networking team is great, the infrastructure team is great. Elon understands this deeply. And from the moment that we decided to go, the planning with our engineering team, then all of the infrastructure, all of the logistics and the amount of technology and equipment that came in on that day, to training, 19 days. Incredible. So, I think what Elon and the X team did is singular. Never been done before. Just to put in perspective, 100,000 GPUs, that's easily the fastest supercomputer on the planet, as one cluster. A supercomputer that you would build would take normally three years to plan, and then they deliver the equipment, and it takes one year to get it all working. We're talking about 19 days.” Jensen Huang, CEO of NVIDIA, Bg2 Pod, October 13, 2024

ELON CLIPS

244,469 views • 1 year ago

🚨 🇰🇷 Jensen Huang hints at deeper NVIDIA-LG collaboration in robotics and AI data centers NVIDIA CEO Jensen Huang visited LG Twin Towers on June 8 and emphasized the company’s growing partnership with LG after meeting with LG Chairman Koo Kwang-mo and other executives. Huang said LG is a world-class company across many important future technologies and noted that NVIDIA and LG are working together on many areas. He highlighted robotics as one of the most important fields, describing it as the fusion of electronics, mechanical systems, and artificial intelligence. He said NVIDIA is working with LG on motor technology and mechanical systems, which could support future humanoid robotics. Huang also pointed to next-generation data centers, saying future facilities will scale to gigawatt levels and require advanced cooling, power, and infrastructure technologies. He added that there will be “many more announcements” in the near future, suggesting NVIDIA and LG’s cooperation in AI, robotics, and data centers could become more concrete soon.
2:03

🚨 🇰🇷 Jensen Huang hints at deeper NVIDIA-LG collaboration in robotics and AI data centers NVIDIA CEO Jensen Huang visited LG Twin Towers on June 8 and emphasized the company’s growing partnership with LG after meeting with LG Chairman Koo Kwang-mo and other executives. Huang said LG is a world-class company across many important future technologies and noted that NVIDIA and LG are working together on many areas. He highlighted robotics as one of the most important fields, describing it as the fusion of electronics, mechanical systems, and artificial intelligence. He said NVIDIA is working with LG on motor technology and mechanical systems, which could support future humanoid robotics. Huang also pointed to next-generation data centers, saying future facilities will scale to gigawatt levels and require advanced cooling, power, and infrastructure technologies. He added that there will be “many more announcements” in the near future, suggesting NVIDIA and LG’s cooperation in AI, robotics, and data centers could become more concrete soon.

TeslaZoa

35,216 views • 2 months ago

NVIDIA $NVDA CEO, Jensen Huang just unveiled the N1X chip at Asia's largest tech expo Co-developed with MediaTek, this beast is built on the Blackwell architecture and runs the entire NVIDIA software stack flawlessly. "A chip that would take 33 years to build." Looks like future of AI hardware has officially arrived.
1:15

NVIDIA $NVDA CEO, Jensen Huang just unveiled the N1X chip at Asia's largest tech expo Co-developed with MediaTek, this beast is built on the Blackwell architecture and runs the entire NVIDIA software stack flawlessly. "A chip that would take 33 years to build." Looks like future of AI hardware has officially arrived.

The AI Colony R&D

22,916 views • 2 months ago

Jensen Huang: the character of a company is the most important thing “The character of a company is what makes it ultimately successful,” Jensen begins. “How resilient is it? How does it deal with adversity? How does it deal with learning when it’s presented with new assumptions? If the conditions change, how agile is the company?” Jensen elaborates on how you instill these values in a company: “You talk about it. You teach it. You live it. Nvidia’s really fortunate because we suffered so greatly in the beginning. For the first 15 years of our company, it was one adversity after another. Maybe 5-7 times it was existential.” It ultimately comes down to the character of the people. “It’s the people’s resilience,” He argues. “A company is made of people. It’s not made of the document that describes the culture. It’s not the inscription of the core values on the building. That’s not what makes the company’s culture. It’s the people and how the company overcame existential crises or incredible adversity — the agility, cleverness, creativity, ingenuity, will power, and incredible ability to suffer extraordinary pain — that is the corporate character.” Jensen once remarked, “my will to survive exceeds almost everybody else’s will to kill me.” He elaborates on what he meant by this: “It’s pretty hard to discourage me, and if I believe in something, I’m just going to keep doing it until it’s done and until we’re great at it. It’s hard to deter me. It’s hard to distract me. It’s hard to discourage me. In my mind, it’s always, ‘How hard can this be?’ And it turns out that every time it’s incredibly hard. But I’m surrounded by amazing people helping me.” Video source: Norges Bank (2023)
2:49

Jensen Huang: the character of a company is the most important thing “The character of a company is what makes it ultimately successful,” Jensen begins. “How resilient is it? How does it deal with adversity? How does it deal with learning when it’s presented with new assumptions? If the conditions change, how agile is the company?” Jensen elaborates on how you instill these values in a company: “You talk about it. You teach it. You live it. Nvidia’s really fortunate because we suffered so greatly in the beginning. For the first 15 years of our company, it was one adversity after another. Maybe 5-7 times it was existential.” It ultimately comes down to the character of the people. “It’s the people’s resilience,” He argues. “A company is made of people. It’s not made of the document that describes the culture. It’s not the inscription of the core values on the building. That’s not what makes the company’s culture. It’s the people and how the company overcame existential crises or incredible adversity — the agility, cleverness, creativity, ingenuity, will power, and incredible ability to suffer extraordinary pain — that is the corporate character.” Jensen once remarked, “my will to survive exceeds almost everybody else’s will to kill me.” He elaborates on what he meant by this: “It’s pretty hard to discourage me, and if I believe in something, I’m just going to keep doing it until it’s done and until we’re great at it. It’s hard to deter me. It’s hard to distract me. It’s hard to discourage me. In my mind, it’s always, ‘How hard can this be?’ And it turns out that every time it’s incredibly hard. But I’m surrounded by amazing people helping me.” Video source: Norges Bank (2023)

Startup Archive

24,941 views • 5 months ago

Jensen Huang on why China is innovating so fast: NVIDIA CEO Jensen Huang explains what's driving China's pace of innovation and it starts with a counterintuitive move on technology itself. "There's no sense keeping technology hidden. You might as well put it on open source. And so the open source community then amplifies, accelerates the innovation process." The result, he says, is a compounding effect: open source attracts talent, talent drives rapid iteration, and fierce domestic competition between companies pushes the ceiling even higher. "So you get this rapid incredible great talent, rapid innovation because of open source and just the nature of friends. Insane competition among the companies. What emerges is incredible stuff." But Jensen argues the technology layer is only part of the story. The deeper edge is cultural. It was decades in the making: "This is the fastest innovating country in the world today. And this is something that has… everything that I've just said is fundamental to just how the kids were grown. The fact that they have excellent education, the fact that their parents want them to do well in school, the fact that their culture is that way." In other words: a generation raised to value education and rigor showed up at exactly the moment the technology curve went exponential. Lex Fridman adds the cultural detail that ties it together: "Plus, culturally, it's pretty cool to be an engineer." That framing leads Jensen to his sharpest contrast. One about who actually runs each country: "It's a builder nation. Our country's leaders, incredible, but they're mostly lawyers… rule of law, governing. Their country was built out of poverty. And so most of their leaders are incredible engineers, some of the brightest minds."
1:21

Jensen Huang on why China is innovating so fast: NVIDIA CEO Jensen Huang explains what's driving China's pace of innovation and it starts with a counterintuitive move on technology itself. "There's no sense keeping technology hidden. You might as well put it on open source. And so the open source community then amplifies, accelerates the innovation process." The result, he says, is a compounding effect: open source attracts talent, talent drives rapid iteration, and fierce domestic competition between companies pushes the ceiling even higher. "So you get this rapid incredible great talent, rapid innovation because of open source and just the nature of friends. Insane competition among the companies. What emerges is incredible stuff." But Jensen argues the technology layer is only part of the story. The deeper edge is cultural. It was decades in the making: "This is the fastest innovating country in the world today. And this is something that has… everything that I've just said is fundamental to just how the kids were grown. The fact that they have excellent education, the fact that their parents want them to do well in school, the fact that their culture is that way." In other words: a generation raised to value education and rigor showed up at exactly the moment the technology curve went exponential. Lex Fridman adds the cultural detail that ties it together: "Plus, culturally, it's pretty cool to be an engineer." That framing leads Jensen to his sharpest contrast. One about who actually runs each country: "It's a builder nation. Our country's leaders, incredible, but they're mostly lawyers… rule of law, governing. Their country was built out of poverty. And so most of their leaders are incredible engineers, some of the brightest minds."

High Signal AI

41,241 views • 3 months ago

Jensen Huang is the CEO of the world’s most valuable company, NVIDIA worth over $4 trillion in market cap. He recently sat down and gave an incredible interview regarding the competition between the US and China 🇺🇸 🇨🇳 It amazes me how so many people in Washington are calling this interview “unpatriotic” and that Jensen doesn’t represent the best interests of the United States. The simple truth? Jensen tells it exactly how it is and people in Washington don’t want to accept the truth. Fact check anything Jensen said in this interview and show me where he made one factual error? You can’t and this is why people in Washington are so pissed off at this interview 👇
0:38

Jensen Huang is the CEO of the world’s most valuable company, NVIDIA worth over $4 trillion in market cap. He recently sat down and gave an incredible interview regarding the competition between the US and China 🇺🇸 🇨🇳 It amazes me how so many people in Washington are calling this interview “unpatriotic” and that Jensen doesn’t represent the best interests of the United States. The simple truth? Jensen tells it exactly how it is and people in Washington don’t want to accept the truth. Fact check anything Jensen said in this interview and show me where he made one factual error? You can’t and this is why people in Washington are so pissed off at this interview 👇

Cyrus Janssen

120,922 views • 10 months ago

September 2009. Jensen Huang walks onto a small stage at the Fairmont hotel in San Jose. About 1,500 people are in the room. He runs a company that makes chips for video games. He spends the next 8 minutes doing math on a whiteboard, explaining why the future of computing won't come from making CPUs faster. He calls it "CEO math" and apologizes in advance to every computer science professor in the audience. Then he lays out an argument that almost nobody took seriously at the time: the way to make computers dramatically faster is to pair a regular CPU with hundreds of tiny parallel processors, the kind that already exist inside graphics cards. One CPU for the sequential stuff. Hundreds of GPU cores for everything else. He calls it "heterogeneous computing." He shows the math. A workload that can be split into many pieces at once gets up to 200x faster on this combined system. A workload that has to run one step at a time loses nothing. "The most important thing in creating a new architecture," he says, "is to make sure it does no harm." This was the first GPU Technology Conference. NVIDIA had launched a software platform called CUDA three years earlier, in 2006, to let developers write programs that run on graphics cards instead of just regular processors. Almost nobody cared. GPUs were for rendering Call of Duty, not for scientific computing. The academic world was polite but skeptical. The enterprise world ignored it entirely. By this point, Huang had been making this argument for years. NVIDIA was a $7 billion company. It competed with AMD and Intel for market share in the graphics market. That was the whole business. Jensen kept saying the GPU wasn't just a gaming chip; it was a computing platform. He kept saying parallel processing would reshape every industry from medicine to finance to physics simulations. People kept nodding, then doing nothing. Then deep learning happened. Around 2012, AI researchers discovered that training a neural network, which means teaching a computer to recognize patterns by running the same calculation millions of times across huge datasets, was exactly the kind of workload Jensen had been describing. GPUs can train AI models 10 to 50 times faster than CPUs. The architecture he outlined in this 2009 talk, with one CPU handling step-by-step tasks while hundreds of GPU cores crunch through massive amounts of parallel data, is now the literal blueprint for every AI data center on earth. ChatGPT runs on NVIDIA GPUs. Claude runs on NVIDIA GPUs. Gemini, Llama, Midjourney, nearly every major AI model you've heard of was trained on NVIDIA hardware using CUDA, the software platform Jensen built for a market that didn't exist yet. NVIDIA was worth about $7 billion when Jensen gave this talk. It is worth over $4.4 trillion today. That's a 600x increase. Jensen Huang, who founded the company at a Denny's in 1993 with two friends, now has a net worth of over $160 billion. He made Forbes' list of the 10 richest people for the first time this year. GTC 2026 is currently ongoing. 17,000 people are packing a hockey arena to watch the same guy explain what comes next. In 2009, 1,500 people showed up at a hotel ballroom, most of them for gaming graphics.
8:19

September 2009. Jensen Huang walks onto a small stage at the Fairmont hotel in San Jose. About 1,500 people are in the room. He runs a company that makes chips for video games. He spends the next 8 minutes doing math on a whiteboard, explaining why the future of computing won't come from making CPUs faster. He calls it "CEO math" and apologizes in advance to every computer science professor in the audience. Then he lays out an argument that almost nobody took seriously at the time: the way to make computers dramatically faster is to pair a regular CPU with hundreds of tiny parallel processors, the kind that already exist inside graphics cards. One CPU for the sequential stuff. Hundreds of GPU cores for everything else. He calls it "heterogeneous computing." He shows the math. A workload that can be split into many pieces at once gets up to 200x faster on this combined system. A workload that has to run one step at a time loses nothing. "The most important thing in creating a new architecture," he says, "is to make sure it does no harm." This was the first GPU Technology Conference. NVIDIA had launched a software platform called CUDA three years earlier, in 2006, to let developers write programs that run on graphics cards instead of just regular processors. Almost nobody cared. GPUs were for rendering Call of Duty, not for scientific computing. The academic world was polite but skeptical. The enterprise world ignored it entirely. By this point, Huang had been making this argument for years. NVIDIA was a $7 billion company. It competed with AMD and Intel for market share in the graphics market. That was the whole business. Jensen kept saying the GPU wasn't just a gaming chip; it was a computing platform. He kept saying parallel processing would reshape every industry from medicine to finance to physics simulations. People kept nodding, then doing nothing. Then deep learning happened. Around 2012, AI researchers discovered that training a neural network, which means teaching a computer to recognize patterns by running the same calculation millions of times across huge datasets, was exactly the kind of workload Jensen had been describing. GPUs can train AI models 10 to 50 times faster than CPUs. The architecture he outlined in this 2009 talk, with one CPU handling step-by-step tasks while hundreds of GPU cores crunch through massive amounts of parallel data, is now the literal blueprint for every AI data center on earth. ChatGPT runs on NVIDIA GPUs. Claude runs on NVIDIA GPUs. Gemini, Llama, Midjourney, nearly every major AI model you've heard of was trained on NVIDIA hardware using CUDA, the software platform Jensen built for a market that didn't exist yet. NVIDIA was worth about $7 billion when Jensen gave this talk. It is worth over $4.4 trillion today. That's a 600x increase. Jensen Huang, who founded the company at a Denny's in 1993 with two friends, now has a net worth of over $160 billion. He made Forbes' list of the 10 richest people for the first time this year. GTC 2026 is currently ongoing. 17,000 people are packing a hockey arena to watch the same guy explain what comes next. In 2009, 1,500 people showed up at a hotel ballroom, most of them for gaming graphics.

Anish Moonka

413,645 views • 5 months ago

Jensen Huang reveals the trip to Japan that saved NVIDIA from vaporizing overnight "Our company was running out of money. If that contract would have been canceled, we'd be dead. We would have vaporized instantly." Jensen was in a contract with SEGA and owed them a game console. But the technology didn't work, and NVIDIA was out of cash. So he went to Japan to see the CEO of Sega, Shoichiro Irimajiri: "I said, listen, I've got some bad news for you. The technology that we promised you doesn't work. And second, we shouldn't finish your contract because we'd waste all your money, and you would have something that doesn't work. And I recommend you find another partner to build your game console." Then he made the impossible ask: "And third, even though I'm asking you to let me out of the contract, I still need the money. Because if you didn't give me the money, we'd vaporize overnight." "I explained to him why the technology doesn't work, why we thought it was going to work, why it doesn't work. And I asked him to convert the last $5 million to complete the contract, to give us that money as an investment instead." The SEGA CEO responded: "But it's very likely your company will go out of business, even with my investment." Jensen's reply: "I told him that if you invested that $5 million in us, it is most likely to be lost. But if you didn't invest that money, we'd be out of business." Two days later, the CEO came back and said: "We'll do it."
1:49

Jensen Huang reveals the trip to Japan that saved NVIDIA from vaporizing overnight "Our company was running out of money. If that contract would have been canceled, we'd be dead. We would have vaporized instantly." Jensen was in a contract with SEGA and owed them a game console. But the technology didn't work, and NVIDIA was out of cash. So he went to Japan to see the CEO of Sega, Shoichiro Irimajiri: "I said, listen, I've got some bad news for you. The technology that we promised you doesn't work. And second, we shouldn't finish your contract because we'd waste all your money, and you would have something that doesn't work. And I recommend you find another partner to build your game console." Then he made the impossible ask: "And third, even though I'm asking you to let me out of the contract, I still need the money. Because if you didn't give me the money, we'd vaporize overnight." "I explained to him why the technology doesn't work, why we thought it was going to work, why it doesn't work. And I asked him to convert the last $5 million to complete the contract, to give us that money as an investment instead." The SEGA CEO responded: "But it's very likely your company will go out of business, even with my investment." Jensen's reply: "I told him that if you invested that $5 million in us, it is most likely to be lost. But if you didn't invest that money, we'd be out of business." Two days later, the CEO came back and said: "We'll do it."

Jaynit

83,618 views • 3 months ago

🇺🇸 ELON “BUILT THE WORLD’S FASTEST AI SUPERCOMPUTER IN 19 DAYS” NVIDIA CEO Jensen Huang: “Just to put in perspective, 100,000 GPUs – that’s easily the fastest supercomputer on the planet. A supercomputer like that usually takes three years to plan, one year to get working. We’re talking about nineteen days. The planning with our engineering team, all of the infrastructure, all of the logistics… nineteen days. Incredible.” Source: Elon Musk
0:29

🇺🇸 ELON “BUILT THE WORLD’S FASTEST AI SUPERCOMPUTER IN 19 DAYS” NVIDIA CEO Jensen Huang: “Just to put in perspective, 100,000 GPUs – that’s easily the fastest supercomputer on the planet. A supercomputer like that usually takes three years to plan, one year to get working. We’re talking about nineteen days. The planning with our engineering team, all of the infrastructure, all of the logistics… nineteen days. Incredible.” Source: Elon Musk

Mario Nawfal

85,066 views • 1 year ago

NVIDIA CEO: WHAT ELON AND HIS TEAM ACHIEVED IS SUPERHUMAN “Building a massive factory, liquid-cooled, energized, permitted, in the short time that was done, that is superhuman. And, as far as I know, there's only one person in the world who could do that. Elon is singular in this understanding of engineering and construction and large systems, marshaling resources. It's unbelievable. And then, of course, his engineering team is extraordinary. The software team is great, the networking team is great, the infrastructure team is great. Elon understands this deeply. And from the moment that we decided to go, the planning with our engineering team, then all of the infrastructure, all of the logistics and the mount of technology and equipment that came in on that day, to training, 19 days. Incredible. So, I think what Elon Musk and the X team did, and I'm really appreciative that he acknowledges the engineering work that we did with him and the planning work and all that stuff, but what they achieved is singular. Never been done before. Just to put in perspective, 100,000 GPUs, that's easily the fastest supercomputer on the planet, as one cluster. A supercomputer that you would build would take normally three years to plan, and then they deliver the equipment, and it takes one year to get it all working. We're talking about 19 days.” Source: Jensen Huang on Bg2 Pod, October 13, 2024
1:41

NVIDIA CEO: WHAT ELON AND HIS TEAM ACHIEVED IS SUPERHUMAN “Building a massive factory, liquid-cooled, energized, permitted, in the short time that was done, that is superhuman. And, as far as I know, there's only one person in the world who could do that. Elon is singular in this understanding of engineering and construction and large systems, marshaling resources. It's unbelievable. And then, of course, his engineering team is extraordinary. The software team is great, the networking team is great, the infrastructure team is great. Elon understands this deeply. And from the moment that we decided to go, the planning with our engineering team, then all of the infrastructure, all of the logistics and the mount of technology and equipment that came in on that day, to training, 19 days. Incredible. So, I think what Elon Musk and the X team did, and I'm really appreciative that he acknowledges the engineering work that we did with him and the planning work and all that stuff, but what they achieved is singular. Never been done before. Just to put in perspective, 100,000 GPUs, that's easily the fastest supercomputer on the planet, as one cluster. A supercomputer that you would build would take normally three years to plan, and then they deliver the equipment, and it takes one year to get it all working. We're talking about 19 days.” Source: Jensen Huang on Bg2 Pod, October 13, 2024

Mario Nawfal

1,677,430 views • 1 year ago

Jensen Huang: I told SEGA we failed, but I still need the money or we'd vaporize overnight. "Our company was running out of money. If that contract would have been canceled, we'd be dead. We would have vaporized instantly." Jensen was in a contract with SEGA and owed them a game console. But the technology didn't work, and NVIDIA was out of cash. So he went to Japan to see the CEO of Sega, Iri Majori. As he puts it: "I said, listen, I've got some bad news for you. The technology that we promised you doesn't work. And second, we shouldn't finish your contract because we'd waste all your money, and you would have something that doesn't work. And I recommend you find another partner to build your game console." Then he made the impossible ask: "And third, even though I'm asking you to let me out of the contract, I still need the money. Because if you didn't give me the money, we'd vaporize overnight." He continues: "I explained to him why the technology doesn't work, why we thought it was going to work, why it doesn't work. And I asked him to convert the last $5 million to complete the contract, to give us that money as an investment instead." The SEGA CEO responded: "But it's very likely your company will go out of business, even with my investment." Jensen's reply: "I told him that if you invested that $5 million in us, it is most likely to be lost. But if you didn't invest that money, we'd be out of business." Two days later, the CEO came back and said: "We'll do it." That moment of radical honesty when the odds were 0% saved NVIDIA from instant death.
1:49

Jensen Huang: I told SEGA we failed, but I still need the money or we'd vaporize overnight. "Our company was running out of money. If that contract would have been canceled, we'd be dead. We would have vaporized instantly." Jensen was in a contract with SEGA and owed them a game console. But the technology didn't work, and NVIDIA was out of cash. So he went to Japan to see the CEO of Sega, Iri Majori. As he puts it: "I said, listen, I've got some bad news for you. The technology that we promised you doesn't work. And second, we shouldn't finish your contract because we'd waste all your money, and you would have something that doesn't work. And I recommend you find another partner to build your game console." Then he made the impossible ask: "And third, even though I'm asking you to let me out of the contract, I still need the money. Because if you didn't give me the money, we'd vaporize overnight." He continues: "I explained to him why the technology doesn't work, why we thought it was going to work, why it doesn't work. And I asked him to convert the last $5 million to complete the contract, to give us that money as an investment instead." The SEGA CEO responded: "But it's very likely your company will go out of business, even with my investment." Jensen's reply: "I told him that if you invested that $5 million in us, it is most likely to be lost. But if you didn't invest that money, we'd be out of business." Two days later, the CEO came back and said: "We'll do it." That moment of radical honesty when the odds were 0% saved NVIDIA from instant death.

Jaynit

176,940 views • 7 months ago

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.
59:13

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.

Tigerflow

73,674 views • 13 days ago

Jensen Huang: Elon is an extraordinary engineer. Every single one of his projects is revolutionary. “I love working with him. We've built some amazing computers together. We're going to build many more computers together. The work that he's doing with Grok, his self-driving car, his Optimus, these are all, every single one of them, world-class, every single one of them revolutionary. Every single one of them are going to be gigantic opportunities and we're delighted, I'm delighted to be working with him on that. I think the Optimus opportunity is just right around the corner. It's very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. And this is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. I think this is likely to be the next multi-trillion dollar industry and I'm very excited for him.” Jensen Huang on Bloomberg, May 29, 2025
1:03

Jensen Huang: Elon is an extraordinary engineer. Every single one of his projects is revolutionary. “I love working with him. We've built some amazing computers together. We're going to build many more computers together. The work that he's doing with Grok, his self-driving car, his Optimus, these are all, every single one of them, world-class, every single one of them revolutionary. Every single one of them are going to be gigantic opportunities and we're delighted, I'm delighted to be working with him on that. I think the Optimus opportunity is just right around the corner. It's very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. And this is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. I think this is likely to be the next multi-trillion dollar industry and I'm very excited for him.” Jensen Huang on Bloomberg, May 29, 2025

ELON CLIPS

2,625,641 views • 1 year ago