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Jensen Huang says NVIDIA doesn't actually build computers — and that's why every investor can't wait for them. "We don't build computers," Huang says. "We actually don't build clouds." "As it turns out, we're a computing platform company. And nobody can buy anything from us." "We vertically design, vertically... integrate to design and optimize. But then we open up the entire platform at every single layer to be integrated into other companies' products." "I can't do what I do without having convinced them first." "Most of GTC is about manifesting a future that by the time my product is ready, they're going, 'What took you so long?'" Three layers, three owners: - NVIDIA owns the design - The supply chain owns the manufacturing - The clouds own the customers Huang owns the future they're all building together. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcastshow more

GeniusThinking

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Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

GeniusThinking

14,769 views • 1 month ago

Jensen Huang says the gamers calling DLSS 5 'AI slop' got it backward — the artist still owns every frame. Lex asked Huang about the gamers calling DLSS 5 "AI slop." Huang didn't dodge. "I don't love AI slop myself," Huang says. "All of the AI generated content increasingly looks similar, and they're all beautiful." "I'm empathetic towards what they're thinking." "That's just not what DLSS 5 is trying to do." Then he named what DLSS 5 actually is: "DLSS 5 is 3D conditioned, 3D guided. It's ground truth structure data guided." "The artist determined the geometry. We are completely truthful to the geometry." "It's conditioned by the textures, the artistry of the artist." "Every single frame, it enhances but it doesn't change anything." AI slop generates without permission. DLSS 5 generates with the artist's blueprint. Same technology. Opposite intent. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

Jensen Huang says the gamers calling DLSS 5 'AI slop' got it backward — the artist still owns every frame. Lex asked Huang about the gamers calling DLSS 5 "AI slop." Huang didn't dodge. "I don't love AI slop myself," Huang says. "All of the AI generated content increasingly looks similar, and they're all beautiful." "I'm empathetic towards what they're thinking." "That's just not what DLSS 5 is trying to do." Then he named what DLSS 5 actually is: "DLSS 5 is 3D conditioned, 3D guided. It's ground truth structure data guided." "The artist determined the geometry. We are completely truthful to the geometry." "It's conditioned by the textures, the artistry of the artist." "Every single frame, it enhances but it doesn't change anything." AI slop generates without permission. DLSS 5 generates with the artist's blueprint. Same technology. Opposite intent. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

GeniusThinking

13,519 views • 1 month ago

🚨 BREAKING: On Lex Fridman's podcast Jensen Huang declared the exact moment when we achieved AGI. You can stop guessing when AGI gets here. CEO of Nvidia Jensen Huang gave Lex Fridman a four-word answer. "I think it's now," "I think we've achieved AGI. We've achieved AGI when an AI can build a billion-dollar app then immediately die." "You said a billion, and you didn't say forever." "It is not out of the question that a Claw was able to create a web service, some interesting little app that all of a sudden, a few billion people used for 50 cents, and then it went out of business again shortly after." "We saw a whole bunch of those type of companies during the internet era, and most of those websites were not anything more sophisticated than what OpenClaw could generate today." "It's happening right now," Huang says. "When you go to China you're gonna see a whole bunch of people teaching their Claws to go out and look for jobs and do work, make money." The AGI you've been waiting for is already getting hired. It's just not hiring you. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

🚨 BREAKING: On Lex Fridman's podcast Jensen Huang declared the exact moment when we achieved AGI. You can stop guessing when AGI gets here. CEO of Nvidia Jensen Huang gave Lex Fridman a four-word answer. "I think it's now," "I think we've achieved AGI. We've achieved AGI when an AI can build a billion-dollar app then immediately die." "You said a billion, and you didn't say forever." "It is not out of the question that a Claw was able to create a web service, some interesting little app that all of a sudden, a few billion people used for 50 cents, and then it went out of business again shortly after." "We saw a whole bunch of those type of companies during the internet era, and most of those websites were not anything more sophisticated than what OpenClaw could generate today." "It's happening right now," Huang says. "When you go to China you're gonna see a whole bunch of people teaching their Claws to go out and look for jobs and do work, make money." The AGI you've been waiting for is already getting hired. It's just not hiring you. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

105,765 views • 1 month ago

Scalable AI requires more intelligence for every single watt used and every single dollar spent. On the Lex Fridman podcast, NVIDIA CEO Jensen Huang explains why extreme co-design is essential for AI efficiency. Watch the full episode now:

Scalable AI requires more intelligence for every single watt used and every single dollar spent. On the Lex Fridman podcast, NVIDIA CEO Jensen Huang explains why extreme co-design is essential for AI efficiency. Watch the full episode now:

NVIDIA AI

10,986 views • 3 months ago

Brad Gerstner: “I believe Nvidia will be the world’s first $10T company.” Jensen Huang: “People misunderstand what we do. We build chips, but Nvidia is really an AI infrastructure company.”

Brad Gerstner: “I believe Nvidia will be the world’s first $10T company.” Jensen Huang: “People misunderstand what we do. We build chips, but Nvidia is really an AI infrastructure company.”

amit

338,315 views • 9 months ago

NVIDIA CEO Jensen Huang says one scaling law multiplies AI faster than NVIDIA can hire engineers. Most people know three AI scaling laws. Pre-training. Post-training. Test-time. Each one multiplies intelligence by throwing more compute at a different stage. Jensen Huang says there's a fourth and it's the one that will dominate... Agentic scaling law. "During test time, that agentic system goes off and does research, bangs on databases, uses tools," Huang says. "And one of the most important things it does is spawn off a whole bunch of sub-agents." That's the multiplier. One AI worker can become a team. Then a department. Then a company. "It's so much easier to scale NVIDIA by hiring more employees than it is to scale myself," Huang says. Now imagine scaling without a payroll constraint. "The agentic scaling law — it's kind of like multiplying AI," Huang says. "We could spin off agents as fast as you want to spin off agents." Each agent spins off sub-agents. Each sub-agent spins off more. The compute requirement compounds inside a single query. And every agent generates new data, new experiences, new edge cases. "Wow, this is really good. We ought to memorize this," Huang says. "That data set comes back to pre-training." The four scaling laws don't compete. They feed each other. Agentic systems produce data, which feeds pre-training, which smartens the base model, which enables better agents, which produce more data. A flywheel that compounds forever. The companies pricing in three scaling laws are mispricing the fourth. The fourth eats the other three for lunch. P.S. Pull the thread on any story like this and you'll find the hidden incentive at the other end. As Munger said: "Show me the incentive and I'll show you the outcome." So I wrote a short book on how to spot them and design your own. Comment "INCENTIVES" and I'll send you the details. If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

NVIDIA CEO Jensen Huang says one scaling law multiplies AI faster than NVIDIA can hire engineers. Most people know three AI scaling laws. Pre-training. Post-training. Test-time. Each one multiplies intelligence by throwing more compute at a different stage. Jensen Huang says there's a fourth and it's the one that will dominate... Agentic scaling law. "During test time, that agentic system goes off and does research, bangs on databases, uses tools," Huang says. "And one of the most important things it does is spawn off a whole bunch of sub-agents." That's the multiplier. One AI worker can become a team. Then a department. Then a company. "It's so much easier to scale NVIDIA by hiring more employees than it is to scale myself," Huang says. Now imagine scaling without a payroll constraint. "The agentic scaling law — it's kind of like multiplying AI," Huang says. "We could spin off agents as fast as you want to spin off agents." Each agent spins off sub-agents. Each sub-agent spins off more. The compute requirement compounds inside a single query. And every agent generates new data, new experiences, new edge cases. "Wow, this is really good. We ought to memorize this," Huang says. "That data set comes back to pre-training." The four scaling laws don't compete. They feed each other. Agentic systems produce data, which feeds pre-training, which smartens the base model, which enables better agents, which produce more data. A flywheel that compounds forever. The companies pricing in three scaling laws are mispricing the fourth. The fourth eats the other three for lunch. P.S. Pull the thread on any story like this and you'll find the hidden incentive at the other end. As Munger said: "Show me the incentive and I'll show you the outcome." So I wrote a short book on how to spot them and design your own. Comment "INCENTIVES" and I'll send you the details. If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

GeniusThinking

92,806 views • 1 month ago

"We're going to create for the first time a software-defined programmable computer that's able to communicate wirelessly and do AI processing at the same time," Nvidia CEO Jensen Huang says. "This is completely revolutionary. We call it Nvidia Arch."

"We're going to create for the first time a software-defined programmable computer that's able to communicate wirelessly and do AI processing at the same time," Nvidia CEO Jensen Huang says. "This is completely revolutionary. We call it Nvidia Arch."

Yahoo Finance

143,824 views • 8 months ago

“Every industry needs it, every company uses it, and every nation needs to build it." That’s how Nvidia CEO Jensen Huang sees artificial intelligence. Read about Huang and the other Architects of AI—TIME’s 2025 Person of the Year—here:

“Every industry needs it, every company uses it, and every nation needs to build it." That’s how Nvidia CEO Jensen Huang sees artificial intelligence. Read about Huang and the other Architects of AI—TIME’s 2025 Person of the Year—here:

TIME

36,598 views • 5 months ago

Nvidia CEO Jensen Huang said Palantir is the “single most important enterprise stack in the world.” “I was just talking to Alex [Karp] earlier.” “Palantir is going to integrate Nvidia so that we can process at the speed of light and at extraordinary scale”

Nvidia CEO Jensen Huang said Palantir is the “single most important enterprise stack in the world.” “I was just talking to Alex [Karp] earlier.” “Palantir is going to integrate Nvidia so that we can process at the speed of light and at extraordinary scale”

Jawwwn

430,122 views • 14 days ago

Curiosity first. Conviction next. On the latest Lex Fridman podcast, NVIDIA CEO Jensen Huang shares how he reasons toward what must exist, then builds toward it.

Curiosity first. Conviction next. On the latest Lex Fridman podcast, NVIDIA CEO Jensen Huang shares how he reasons toward what must exist, then builds toward it.

NVIDIA

35,052 views • 3 months ago

“The IT department of every company is going to be the HR department of AI agents in the future.” ~ Jensen Huang (NVIDIA CEO)

“The IT department of every company is going to be the HR department of AI agents in the future.” ~ Jensen Huang (NVIDIA CEO)

MindBranches

545,499 views • 1 year ago

“The IT department of every company is going to be the HR department of AI agents in the future.” - Jensen Huang (CEO NVIDIA ) at CES 2025

“The IT department of every company is going to be the HR department of AI agents in the future.” - Jensen Huang (CEO NVIDIA ) at CES 2025

Rohan Paul

338,423 views • 1 year ago

Professor Jiang says in China everything you buy, message, and say online gets fed into a database built to control you. He lived it firsthand. Digital ID for a bank account, digital ID for your phone, digital ID for every payment you make. The government calls this progress. They say it helps you lose weight, avoid drugs, work harder. Jiang says that's exactly the point. "Everything you do online is being recorded and is being inputted into the database to figure out who you are, what you want, and how to control you." • Digital ID required for banking, phones, payments • Government can categorize and predict your behavior • Jiang avoids Chinese internet to stay unmonitored Once they know what you want, they don't need to force you anymore. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Professor Jiang on The Diary Of A CEO

Professor Jiang says in China everything you buy, message, and say online gets fed into a database built to control you. He lived it firsthand. Digital ID for a bank account, digital ID for your phone, digital ID for every payment you make. The government calls this progress. They say it helps you lose weight, avoid drugs, work harder. Jiang says that's exactly the point. "Everything you do online is being recorded and is being inputted into the database to figure out who you are, what you want, and how to control you." • Digital ID required for banking, phones, payments • Government can categorize and predict your behavior • Jiang avoids Chinese internet to stay unmonitored Once they know what you want, they don't need to force you anymore. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Professor Jiang on The Diary Of A CEO

GeniusThinking

12,411 views • 7 days ago

Redesigning how the world builds chips was just the start. NVIDIA CEO Jensen Huang talks with Joe Rogan about running NVIDIA like everything is on the line and how that mindset still drives how we build today.

Redesigning how the world builds chips was just the start. NVIDIA CEO Jensen Huang talks with Joe Rogan about running NVIDIA like everything is on the line and how that mindset still drives how we build today.

NVIDIA

59,668 views • 7 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

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

121,476 views • 1 month ago

Jensen Huang at GTC: "I expect data center build out to reach a trillion dollars, and I am fairly certain we're going to reach that very soon." "General purpose computing has run its course, and that we need a new computing approach." "In the past we wrote the software and we ran it on computers. In the future, the computer is going to generate the tokens for the software." "The computer has become a generator of tokens, not a retrieval of files."

Jensen Huang at GTC: "I expect data center build out to reach a trillion dollars, and I am fairly certain we're going to reach that very soon." "General purpose computing has run its course, and that we need a new computing approach." "In the past we wrote the software and we ran it on computers. In the future, the computer is going to generate the tokens for the software." "The computer has become a generator of tokens, not a retrieval of files."

vitrupo

55,971 views • 1 year ago

NVIDIA CEO Jensen Huang breaks down the five layers of AI.

NVIDIA CEO Jensen Huang breaks down the five layers of AI.

hinata

164,671 views • 7 months ago

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

15,565 views • 1 month ago

Your boy with Jensen! What a day to be alive :) Got a chance to ask an exclusive Question to Jensen at the NVIDIA GTC Press QnA. Asking Jensen about the all new RTX Spark and how will it impact the market 2/3 years down the line. Starting the day with a QnA with Jensen Huang and this is me with Jensen, ladies and gentlemen! #jensen #nvidia NVIDIA AI NVIDIA

Your boy with Jensen! What a day to be alive :) Got a chance to ask an exclusive Question to Jensen at the NVIDIA GTC Press QnA. Asking Jensen about the all new RTX Spark and how will it impact the market 2/3 years down the line. Starting the day with a QnA with Jensen Huang and this is me with Jensen, ladies and gentlemen! #jensen #nvidia NVIDIA AI NVIDIA

Arsh Goyal

20,549 views • 1 month ago

"I don't wear a watch and the reason I don't wear a watch is now is the most important time" - Jensen Huang, Founder of NVIDIA, Former Denny’s dishwasher.

"I don't wear a watch and the reason I don't wear a watch is now is the most important time" - Jensen Huang, Founder of NVIDIA, Former Denny’s dishwasher.

SemiAnalysis

36,231 views • 9 months ago