Jensen Huang
Co-founder of NVIDIA and, as of 2026, its chief executive; the company designs the GPUs most large AI models are trained on.
Jensen Huang did not write this page. What is this?
It collects the places they publish and what they have said there, each linked to the source. They have no account here. Is this you? Claim it, correct it, or ask us to remove it from ppll.
Where they publish
No channels checked yet. We list a place only once someone has opened it and confirmed it is theirs, so this stays empty rather than guessing.
Beliefs
Korrents What they believe 86 beliefs — each backed by an exact quote.
Each is a — compiled by korrents.com, not by them: the one-line wordings are korrents', the quotes are theirs.
Recent
The technology a company is founded on can be exactly wrong and still not matter, so long as the founders confront reality and can learn.
the the big lesson is that for me is technology is changing all the time, and so long as you're able to confront the reality, so long as you are able to learn, the technology itself actually doesn't matter.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
What makes a great company is a unique perspective about the world that its founders deeply believe in — not the technology and not even the market.
one of the things I've always believed believed in is what makes great companies is a unique perspective about the world that you deeply believe in. It's not so much the technology, it's not so much uh the market even.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
The business is not building a great chip; it is accelerating an algorithm domain.
we realized early on uh that it's not about building a great chip, it's about accelerating an algorithm domain.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Show 57 more
You do not invest in companies, you invest in people — which is why an honest founder who cannot deliver still gets kept alive.
You don't invest in companies, you invest in people.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function.
the the breakthrough for us was realizing that AlexNet was not AlexNet. That AlexNet was an approach with deep deep learning that allows you to learn any function.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
A CEO is in service of the company, so going deep into the technical weeds is a personality technique rather than a management technique.
in a lot of ways I think a a CEO is in service of the company, in service of all the people that are working there. And you want to empower them with some insight. And so that's really where it's coming from. It's not so much a management technique, but a personality technique.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Shape the company to fit the founder the way an F1 car is fitted to its driver; the next CEO can reshape it after you.
whatever it takes to fit the car to you whatever it takes to fit the organization to you, that's what you got to do. And the next CEO, whatever the personality is, they can figure it out.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Systems thinking is the most useful skill of the coming decade, because everything below the system level will be done agentically anyway.
one of the most important things is systems understanding. Systems awareness, system design, system organization. Um, but systems thinking. And the reason for that is because most of the low-level things that that has to be done are going to be done agentically anyways.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Controllability, not accuracy, is the single biggest breakthrough agents still need — an agent that is right most of the time is useful if you can steer it the rest of the way.
We don't need the the agents to be 100% accurate, 100% high quality in order for us to use it. It could, you know, literally be 80% and then we help it the rest of the way, or it could be 99% we help it the rest of the way. And so I I think controllability is probably the single biggest breakthrough that we need for agents at every single level.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Coding agents already do coarse-grained recursive self-improvement, because every use rewrites their instruction files and their long-term memory.
we we kind of have coarse level uh recursive self-improvement already. And the fact that every time you use it, it improves the markdown files. Uh every time you use it, it updates its uh long-term memory.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade.
We we kind of have to live in the future 5 to 10 years because it takes three or so years just to build a system, takes a couple years to ramp it up, and you're dealing and you would like them to be able to use the computer for 10 years after.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Every company should be able to build its own AI, and the innovation that comes from that is the point of open source.
we want we want to encourage everybody and every company to build their own AIs. And and and who knows what innovation will come from the fact that it's open source.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Without open source there would have been no mobile cloud industry, and no modern AI either.
If not for open source, the mobile cloud industry would have never happened.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
The narrative that AI destroys jobs is exactly backwards: AI automates tasks, and automation is creating jobs everywhere.
The evidence would show that and it makes perfect sense that AI and automation is creating jobs everywhere. The narrative about AI destroying jobs is exactly backwards. AI eliminate tasks. AI automates tasks away. But it doesn't necessary doesn't necessarily eliminate jobs.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Automating a profession's work grows its headcount rather than shrinking it, because the backlog of demand was always the binding constraint.
Turns out paralegals are growing like crazy. And the reason for that is because the backlog of lawsuits is really high, and now these law firms could get a lot more cases through. And in order to do so, you got to hire more people.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work.
I would say the chat GPT moment of robots happened a couple of years ago already.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Physical AI will become one of the largest industries in the world and NVIDIA's next hundred-billion-dollar business, in more than three years but fewer than ten.
likely this will be one of the largest industries in the world and um, uh, it'll take longer than a couple two, three years. It'll take less than 10. And so this will this will be our next $100 billion business.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
The simple work gets automated away, but the hard sciences and the places where they intersect never will.
I think the simple stuff is going to get automated away, but the hard problems, the hard sciences, um physics, chemistry, biology, uh you know, computer science, uh computer engineering, systems thinking, uh you know, all and and particularly the domains that are intersecting, uh those hard problems will never go away.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
This is the greatest time in sixty years to start a company, because the computer itself has been completely reset.
Obviously, this is the greatest time in the last 60 years to start a company. The whole industry has changed. It's a complete reset from a technology perspective. The single most important technology in human history, the computer, has been completely reset.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Ask "how hard can it be?" rather than forecasting the difficulty, because the work really is harder than you think and the suffering is better taken a day at a time.
And truth be told, it is way harder than you think. And but you you don't want your mind to be to be there. You want your mind to be, how hard can it be? And let the suffering come to you a little bit at a time.
Jensen Huang: The Mindset That Built NVIDIA Said 26 Jul 2026
Nvidia's business is the transformation of electrons into tokens, and its job is to do as much as necessary and as little as possible in between.
my mental model of our company the input is electron the output is tokens that is in the middle Nvidia and our job is to to do as much as necessary as little as possible to enable that transformation to be done at incredible capabilities
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
AI will not commoditise software tools; it will multiply them, because every new agent is another tool user.
I actually see the opposite of what people see I think the number of agents are going to grow exponentially. The number of tool users are going to grow exponentially and it's very likely that the number of instances of all these tools are going to skyrocket.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Nvidia's suppliers make their investments for Nvidia and nobody else because only Nvidia's downstream demand can absorb what they build.
Now why are they willing to make the investments for me and not someone else and the reason for that is because they know that I have the capacity to buy it buy their supply and sell it through my downstream.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
The doomers said radiology would be the first career to go; a decade later the world is short of radiologists.
You know, radiology is is going to be the first career to go. Nobody's the world's not going to need any more radiologists. Guess what? But we're short of radiologists.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
No bottleneck in the AI supply chain lasts longer than two or three years.
And so none of that my point is that none of the bottlenecks last longer than a couple 2 three years. None of them.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Nvidia did not build a tensor processing unit — it built accelerated computing, whose market reach no ASIC can match.
Our market reach is far greater than any any TPU can any ASA can possibly have. And so if you look at our position, uh we're the only company that that accelerates applications of all kinds.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
A homebuilt accelerator forces you to be your own operator; Nvidia systems are designed for anyone to operate, which is why they are in every cloud.
because our computers are designed to be operated by other people, anyone who's an operator could buy our systems. Most of these homebuilt systems you have to be your own operator because it was never designed to be flexible enough for other people to operate.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Moore's law now yields about 25% a year, so 10x and 100x leaps can only come from changing the algorithm and how it is computed, every single year.
TPUs like anything else is impacted by Moore's law. And we know that Moore's law is increasing about 25% per year. And so the only way to really get 10x leaps, 100x leaps, is to fundamentally change the algorithm and how it's computed every single year.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue.
And so our expertise um helps our our our um uh our AI labs partners get another 2x out of their stack easily. Often times it's not unusual that we you know by the time that we're done optimizing their stack or optimizing a particular kernel their model sped up by 3x 2x 50%.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
No platform in the world has a better performance-per-total-cost-of-ownership ratio than Nvidia's, and nobody will run the public benchmark to show otherwise.
Nvidia's computing stack is the best performance per TCO in the world, bar none. Nobody can demonstrate to me that any single platform in the world today has better performance TCO ratio. Not one company.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Anthropic is a unique instance and not a trend: without it there would be essentially no TPU or Trainium growth at all.
anthropic is is an is a unique instance um and not a trend. Uh without an anthropic, why would there be any TPU growth at all? It's 100% anthropic. Without anthropic, why would there be any tranium growth at all? It's 100% anthropic.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Building an ASIC is not the hard part; building something better than Nvidia is, and that is not easy.
Just because you're going to build an ASIC, you still have to build something better. than Nvidia. And it's not that easy building something better than Nvidia.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Moving to a custom ASIC does not escape the margin — the ASIC vendor’s margins are nearly as high as Nvidia’s.
And so so I think the the ASIC margins are are incredibly good from what I can tell and and they believe it. They believe it so too. And so they're they're quite proud of their their incredible ASIC margins.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Nvidia's real miss was not seeing that a frontier lab could never be funded by venture capital, so its compute suppliers had to become its investors.
Nor nor did I I would say my mistake is I didn't deeply internalize that they they really had no other options that that that a VC would never put in 510 billion of investment into an AI lab with the with the hopes of it turning out to be anthropic. And so that was my miss.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Nvidia should build only what would not otherwise exist — twenty years of CUDA at a loss is the test, and the world already has plenty of clouds.
the work that we do with building our our computing platform. If we don't if we don't do it, I genuinely believe it doesn't get done. If we didn't take the risk that we take, if we didn't build MVLink the way we built, if we didn't build the whole stack, if we didn't create the ecosystem the way we did it, if we didn't dedicate ourselves to 20 years of CUDA while losing money most of that time, if we didn't do it, nobody else would have done it.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Nobody can pick winners: Nvidia's own first graphics architecture was precisely wrong, and it would have topped the list of companies expected to fail.
Nvidia would be the top of that list not to make it. You know, this is long before you, but Nvidia's graphics architecture was precisely wrong. It's not a little bit wrong. We created an architecture that was precisely wrong.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Allocating scarce chips to the highest bidder is bad business — you set your price and keep it, however high demand goes.
Because it's it's a bad business practice. You you set your price. You set your price and then and then people decide to buy it or not. And and um uh there there I I understand that that others in the chip industry um uh change their prices when demand is higher. Uh but we just don't we just don't that's just never been a practice of ours.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
You can bet your entire business on Nvidia shipping a better architecture every single year and your token cost falling by an order of magnitude — no ASIC team can promise that.
Pick your ASIC team where you can say I can bet the farm of I can bet my entire business that you will be here for me every single year. Your cost, your token cost will decrease by an order of magnitude every single year. I can count on it like I can count on the clock.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Export controls cannot deny China compute: it already manufactures most of the world’s mainstream chips and has some of the world’s best computer scientists.
And so you just have to first realize that chips exist in China. They manufacture 60% of the world's mainstream chips, maybe more. It's a very large industry for them. They have some of the world's greatest computer scientists.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage.
We have got to acknowledge that most of the advanc advances in AI came out of algorithm advances not just the raw hardware. Now if most advances came from algorithms and computer science and programming tell me that their army of AI researchers is not their fundamental advantage.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Computing is not a car market: x86 and ARM persist because ecosystems cost too much time and energy for anyone to replace.
Computing is not like that. There's a reason why the x86 still exists. There's a reason why ARM is so sticky. These ecosystems, these ecosystems are hard to replace. It costs an enormous amount of time and energy and most people don't want to do it.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Blackwell is 50 times Hopper while the transistors themselves improved 75% in three years — the gain is architecture, not lithography.
Between Hopper and Blackwell from the transistors themselves, call it 75%. It was 3 years apart. 75%. Blackwell is 50 times hopper. My point is architecture matters.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
Nvidia does not run rival chip architectures in parallel because it simulates them and they come out provably worse.
Yeah, we we could do all of those things. Um it's just not better. And we simulate it all. they're in our simulator provably worse and so we wouldn't do it.
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
General-purpose computing has largely run its course; domain-specific acceleration is the way computing keeps scaling.
the ability for general purpose computing to continue to scale has largely run its course and the only the the not the only way but the the way to do that is through domain specific acceleration
Jensen Huang – Will Nvidia’s moat persist? Said 15 Apr 2026
The install base is the single most important part of a computing architecture, and everything else about it is secondary.
They come to a computing platform because the install base is large. Because a developer, like anybody else, wants to develop software that reaches a lot of people. So, the install base is, in fact, the single most important part of an architecture.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Training is no longer limited by data but by compute, because most of the data models learn from is now synthetic.
The amount of data that we use to train models is going to continue to scale to the point where we're no longer limited… Training is no longer limited by… Data is now limited by compute. And the reason for that is most of the data is synthetic.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Inference was never going to be the easy, cheap half of AI, because inference is thinking, and thinking is far harder than reading.
that was always illogical to me because inference is thinking, and I think thinking is hard. Thinking is way harder than reading.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.
And so the next scaling law is the agentic scaling law. It's kind of like multiplying AI. Multiplying AI, we could spin off agents as fast as you want to spin off agents. And so, you know, I… You know, I have four scaling laws.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Intelligence is going to scale by exactly one thing, and that thing is compute.
And so this loop, this cycle, is gonna go on and on and on. It kinda comes down to basically intelligence is gonna scale by one thing, and that's compute.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
The idea that AI will destroy software and make tools unnecessary is ridiculous: an agent, like a humanoid in your kitchen, will use the tools that already exist.
You know, a lot of people would say, "You know AI is gonna completely destroy software. We don't need software anymore. We don't even need tools anymore." That's ridiculous.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
OpenClaw did for agentic systems what ChatGPT did for generative ones.
And I think OpenClaw did for agentic systems what ChatGPT did for generative systems. And I just think it's a very big deal.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
The cost of a token is falling by an order of magnitude every year, even as the price of the computers that make them goes up.
You know, our computer price is going up, but our token generation effectiveness is going up so much faster that token cost is coming down. It's just coming down an order of magnitude every year.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Data centres should be built to degrade gracefully when the grid needs its power back, instead of demanding perfect uptime from utilities that have idle capacity most of the year.
Now, the second thing is we have to build data centers that gracefully degrade.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Engineer from the physical limits first, then improve, rather than shaving a few days off a 74-day process by continuous improvement.
I don't love the other methods, which is continuous improvement. The problem with continuous improvement, it… First of all, you should engineer something from first principles at the speed, you know, with speed of light thinking. Limit it only by physical limits, and physics limits. And after that, of course you would improve it over time.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
China is the fastest-innovating country in the world today, on the strength of its talent, its open-source habit and its ferocious internal competition.
So you get this rapid, incredible great talent, rapid innovation because of open source and just, you know, the nature of friends, and, and insane competition. Among the company, what emerges is incredible stuff. And so this is the fastest innovating country in the world today
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Open-source models are fundamentally necessary for most industries, countries and researchers to join the AI revolution at all.
And if everything is proprietary, it's hard to do research and it's hard to innovate on top of, around, with. And so… Open source is fundamentally necessary for many industries to join the AI revolution.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Someone paying a thousand dollars per million tokens is just around the corner, because intelligence is a product that segments by grade like phones do.
You know, the idea that somebody's willing to pay $1000 per million tokens is just around the corner. It's not if, it's only when.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
World GDP growth is certain to accelerate, and the share of GDP spent on computation will be a hundred times what it was, because a computer is now a factory rather than a warehouse.
And so when you take these things in combination, I am absolutely certain that the world's GDP is going to accelerate in growth. I'm absolutely certain the percentage of that GDP that will be used for computation will be 100 times more than the past
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
NVIDIA can be a three-trillion-dollar-revenue company in the near future, because nothing physical stands in the way.
And then the rest of it, to me, is: is it possible for NVIDIA to be a, you know, $3 trillion revenue company in the near future? The answer is, of course, yes. And the reason for that is because it's not limited by any physical limits.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
Asked when an AI could build a billion-dollar business on its own: AGI has already arrived.
I think it's now. I think we've achieved AGI.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 Said 23 Mar 2026
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.