Mad Money w/ Jim Cramer 11/27/24
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Their money starts now. Hey, i'm craymer. Welcome to a special invidia focus edition of beer money.

Welcome to me, amErica regular. You know that i've been pound the table video for years. I've watched stock shoot up to twenty five hundred percent in just the last five. One of the intelligence and its accouchement keep putting in out of fashionable wall street. But when IT comes to A I and invidia particular, we should remember the data center filled with video chips is not some fleeting fine. I tell us one of the greatest stories ever told, never you disable when I was in sales for dream force comforts sales for CEO mark beny SAT down with just one is o after inking a CoOperation agreement regarding sales forces, new agent force roll out, Jason opened on the state of A I I felt he particular created more point genson. Talk him about how we have any scratch, the service, what can be done with our efficient intelligence?

Take a look the best. Nobody, nobody should miss the next decade. Would you agree with that? You're not gonna a want to miss this movie. Yeah, you're not going to wanted miss this movie. I think the next ten years, the breakthrough that we're going to have in digital biology, the breakthrough and just helping diagnosing disease on the breakthrough and science, we're going to have so many scientists assistance.

Moments like these remind me that on wall street, invidious roles, often misunderstood. Invidia intends to make every more powerful chips that can do on imaginable things. Ultimately, A I will end up performing many miracles skel.

Many of the AI initially we have now, they tend to be all things that would have been done anyway. Things that are just being rebranded is A I. But one thing we know for sure is that a video has been and will be at the forefront of what every A I does in the world.

That's why when the videos CEO jenson, one talks, I listen. It's also wet. Tonight we're taking you back to my executives, one on one conversation with the man I called the divinity of A I himself to reform videos s developers comforts.

In march, we discussed chip demand and the company y stocks split and video growing less of partner and even got to talk about how jenson got to wear is today, take a walk. I am with tencent one and we are at what some people are coin tencent, the word stock of ai. But isn't IT much more than that isn't about a change in everything we do when IT comes to digital, when IT comes to creating the thinking, you're changing that. Isn't that what we're doing out here?

Yeah, this is an incredible conference. This is invidious developer conference. Everything that we do starts with software.

Everything we do, the stories of software, and everything we do is in service. All the software developers are solving these really difficult algorithms. We are represented by one hundred trillion dollars of industry here.

Health cares here. Financial services are here. Manufacturing, industrial, automotive, climate tech, you holy cow.

Communications is here. Consumers are here. But people always think .

of you as hardware. You're talking about a different platform, a system that Frankly may be unassertive from competitors because once all these companies get involved with you, they're going to do with in video.

It's a very specialized way of doing computing, collectivity computing. And what we do, what we do is this, john, this is the the observational long time ago, thirty, thirty years old, we observed that the cp s really good at many things. But there are some things it's surprisingly on good at parallel things, things that you could distribute across a large number of processors.

And so what we did was we added in video to a CPU we connected to to a CPU offload the work that the CPU is not good at. And we run that work insanely fast. While surprisingly, that worked. That the CPU is not good at represents ninety five percent at the time that is spent in computing. We offload that ninety five percent at the time and we've run IT a hundred times faster.

What you're talking about a total do over of all technology where you're talking about everything. You our countries building new, new plants that are using old technology. That's the case.

It's wrong. Well, we should build amazing semicon tic plants here, and we will be more than happy to build all kinds of chips here. But it's very clear that in the future that general purpose computing, it's like a general purpose, almost anything you know general purpose uh uh instrument of any kind.

It's not very efficient. There are many types of things that we want to do very efficiently. Computation of mathematics, we want to do very, very efficiently.

And so as a result of doing you efficiently, you drive the cost down, you use less energy. One of our computers, this is our latest generation. This is the chip that goes into IT.

This is the largest chip the worlds ever seen. This is beyond the limits of physics. We had to invent some new technology .

to make a possible .

to how many cessile two hundred and eight billion transistors in that. Gosh, it's even hard looking in, yeah, in this little, tiny part in .

the middle in which .

that cost this. This will cost, you know, thirty, forty thousand.

thousand. And how much did you spend a develop?

The very first one, the R N D. Budget of this generation is probably something like ten billion.

a million, and you deserve the right to be about that, that you're doing well.

We're going to do our very best job in this computer here.

this computer here with that computer.

This is called the black well computer. This computer here has, yes, a mathematician. Yes, yeah, really terrific mathematician. And and this computer here will replace thousands of general purpose computers. This is the part that's incredible.

In fact, what's amazing is that the cables of connecting last generation genre purpose computers, the cables of connecting them, costs more than the Price of one of these computers. The amount of energy that we save is incredible. Mega water.

Mega want, make a water. Because of this, we made a possible for the computer, the right software by itself. IT is so insanely fast.

Now the software can write. The computer can write is on software. We call that artificial intelligence.

So if that the case, why do we still need us?

Well, we still have to guide the software. We we have to create the algorithms such that the computer can go. Rights often are. And that algorithm is called deep learning. Yes, really quite a remarkable thing that that happened .

the last if we ask questions, we inference, yeah, IT speaks our language well.

If you ask the question, first of all, IT not only recognizes the words, but IT understands your meaning. That understands the meaning because you wants, oh sure you can give you a you say, I would like the first mom going to literally ad this book, read movie dick and then i'm going to ask your help and your questions about IT and so first IT goes often reads IT and IT takes me, you know.

a flash, but understand why ismael is just completely driven by movie.

absolutely. Because I saw IT read the end of the story, read the end of the story. And not only that, it's read a whole bunch other stories. And so IT understands IT understands the context of of the conversation. But IT also has encoded within IT a lot of things that is already read from society OK.

But you're describing something that's different from earning per share. You're describing wonderment. You're describing in creating something that can replace trillions of dollars of what we don't need anymore. Do IT faster, do IT more productive, do IT cleaner. Everything has to be replaced.

There's a lot of waste in world. There's a lot of waste in world. Often times we can't chase IT down.

Of course, there's a lot of wasted uh, energy used and and doing computing. And now with accelerator computing, we could make IT a lot more efficient. Um there's a lot there's a lot of waste in just about every single industry. The chAllenge is that we've never been able to use a computer to understand the information of that industry. One of the things that's really exciting is we've been able to sequence genes, but we've never been able to understand what that means.

We've been able to so we didn't understand what the proteins do.

We can begin to understand what a protein does.

what we do that, and we can do drug trials in in sixty days instead of six years. So companies will attacker the tough illusory that they can afford to tack.

That's exactly right at the very minimum. Now you still have to go through trial and and do trials on people and things like that. But we can reduce the time that IT takes to go through the entire search space of drugs and proteins and targets, and that search basis just gigantic. It's impossible for humans to do IT. We can now, because computers with artificial intelligence can understand the language biology, we could sort through that a lot more quickly.

We have about the last frontier, can not understand the factory.

Well, the last frontier. We have to teach you to understand physical things and has to understand that when you drop something that fall to the ground but he doesn't go through the ground, um you have to understand that that ah that mechanical hinges work in a particular way. And so this mechanical hinges work in a particular way.

Or the laws of physics. This is no different than word sequences and sequences of sentences turn into paragraphs and so on so forth. The computer can understand, can learn to understand physics and learn to understand mechanical things. To learn. Once IT does that, then we can understand how to comte, how, how, how a factory works.

Can you understand big macro dia coke?

It's common sense. It's it's a common sense and therefore, of course, of course, if you if you order prize, you should also you know recommend some died just .

bother you that in the end we're trying to figure out whether there's a trillion dollars from video, three hundred billion for AMD. Are these two pedestrian these questions, pedestrian verses, the ten years you've worked together well.

First, what we do very different things in video is a accelerated computing company. If you look at the things that we do, we build the chips, the systems, the networking. And so and so far, the entire, the entire data center, practically all the software that goes into IT, and then we sell in parts.

The reason why we sell and that is what confuses people. They think that in videos, a chip company, because we sell everything in parts, right? The reason we do that is so that our customers could integrate and videos technology into their data centers.

However, they like everybodys. Data centers are different. Everybodys systems are different. And so when we build up the whole thing, we make IT work, but we sell IT in parts. So that fits into the know know some cranes.

You can break IT up like that, and you have the software. Why would there be any other semi ductor companies?

Well, there's a lots, you know, gym in the world of semiconductors is gigantic. We serve, we serve this one niche called accelerated computing and artificial intelligence. Now this is a very important eh, because is the foundation of computing, as we know are going forward, right? But video, a NVIDIA data center scale company where full stack software company and we designed the entire computing system, we sell IT in parts so that everybody .

can enjoy video, why do we why is in vidia a two trillion dollar company?

wow. Gosh, that's a that's a tough question. Um well, first of all, there are several things that I really appreciate about the work that we do.

One, the foundation, the single most important instrument of humanity is computing. And now we have computers that uh could uh understand information of all different kinds. The impact so to the industries are enormous. One hundred trillion dollars with the industry are here. The impact of the work that we do to all these for all these industries .

is absolutely two percent of one hundred. Of course, this we spoke invidious, casually tacked on another trillion dollars in markey cap. This this is a coming, a very little direct consumer contact and is see trees of dollars and market impact up over the list of apple and microsoft or man. Tonight we're hearing all about the secret to invidia success. Next.

don't miss the second of mad money. Follow action. Cramer on x have a question tweet cramer ash tag, send gm emailed to mad money at C N B C dot com or give us a call at one eight hundred seven four three C, N B C.

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Before we go into what is going on here, our viewers want to thank you, thank you for for allowing them to be able to retire on your stop, put their kids through school, put to change their lives. And I think it's good manners to say thank you.

Well, I want to say thank you to all of the shareholders. With their support, we were able to do our work and realize our hopes and dreams and pick up real contribution to the industry into the world.

So I want to thank you. Thank you. Thank you're welcome. Okay, because we have to start that way because in what you've created here is something that is remarkable, that is being rewarded by the stock market to truly dollar valuation. So I ask you what is invited done to deserve such evaluation? And maybe it's still inexpensive.

There's probably never been a technology company that has made a greater technology contribution to one of the most important industries in the world. And as such large scale, we reinvented the computer as we know, IT the computer, and has been the same since one thousand nine hundred and sixty four ce since the year after I was born. And we reinvented IT with this idea called accelerated computing.

Now you could have a computer that's a hundred times faster or twenty times more energy efficient, cost twenty times less, and to be able to do to solve problems at a scale that nobody is are imagine such that uh we uh helped solve artificial intelligence. And we're now on our way to uh, making enormous progress and automation of intelligence. And as you know, intelligence is foundational to every single industry and that's the reason why they're all here.

Is this way of intelligence.

this in the future? This is exactly this right here that you're looking. I can you guys see this, this, these servers are the densest computers in the world. This replaces entire data centers in the past. And to shrink them into this little time, data center here and this rack here would try be more powerful than almost all of the computers in the world.

Will to be some or two years. Will this be slow?

Every couple of years will be coming up with something so, so much more incredible in the last eight years, we improved performance per chip per chips for one of these chips. We improved the performance of one of these chips by a thousand times in the .

last eight years. So that means that you can talk about a movie and I can read in A O what does that mean that?

Well, first of all is pride read those things and and pride read about the movies. And so if you want to to ask you a question about those movies or a book, you say read this book. Um now let me talk to you about this book and you can you can talk .

to what about just buy anything now can I can IT make IT so that a product like the vision becomes a commercial product where IT would be great to be able to step in to a car, make IT find out what IT feels like, what IT sees, and maybe that would be the sales element for a core company.

Well, first, while i've enjoying the vision pro and I go to it's really fantastic. I really, really enjoy IT and they've done such a great job with the the the tracking the a the tracking with the world, the registration of all of the objects in the world.

Are you feel like you're really, really in IT? Um the thing that's really great is when we connect a vision pro with this world, we call on universe and is running on these computers, we essentially uh create the digital world that's overlaid with the physical world. And apple calls a special computing and and you feel like you're practically there. It's really quite .

a it's the same time if we switching were burst s these biotic IT cost fortunate do a trial. And because IT cause fortunate do a trial, they don't do trust or they try to solve the easy, illusory. I talk to Kimberly power is your vice person and healthcare and is very clear, the beginning with black. Well, we will not do trials the way we've done, and we will go after parkins, walk away to a the things that no one can conquer. They're now within your can with their now possible.

We just as we use the technology, artificial intelligence, understand a novel, we can use a similar technology to go understand the meaning of proteins, the meaning of life. Now, once we can understand the meeting of life and be able to Operate, use IT in a computer, we could use that computer to simulate life, such that we don't have to do as much of the screening. In a wet lab, we could do a lot of the screening in a computer.

That computer does IT so fast. We could explore the chemical space that is so much larger, explore the target protein space so much larger and so much more quickly. And so whatever we decide ultimately to take two trials will have much higher possibility of actually passing the trial and becoming .

A I think one of things is in your kino, I would love urge people to watch, especially the soring rockets at the end and how gorgeous they are. But people didn't realize in the end, you are a supplier to other company so that if I want to do the joke, I wouldn't call Jason, i'd be working with the company that is figure out how to be able to use you to be able to help trial. You're not the name plate. And that's one the reasons why I think people can understand that you are two trillion dollar company because they are not on the in india though.

you know the there's no computer company has ever been built like ours. We created a brand new wave doing computing. Everybody we work with, everybody will work with here.

There's researchers and scientists from one hundred trillion dollars with the industries of health care and financial services, manufacturing and such. And when we're done building all these computers, we break them up into parts and we integrate them into microsoft azure, O C I G C P A W S uh H P and dell and IBM. They take at the market.

And so the application software uh is being offered by cats and synapses and answers and the so really amazing company that we work with the so and on the desk and adobe and others that the tech r technology is integrated into theirs. Our technologies integrated into all these computer makers and the world connects IT together. And that's the reason why and videos.

everyone in video is everywhere. As Jason said, invidia is quickly becoming the everything and everywhere company and that's why the stock has the valuation that IT does is why I say only IT don't treated and it's why i'm a believer in jensen and his vision more with the video CEO jensen wrong after the brain.

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Welcome back to the special invidia centric condition of their money. As we mentioned before, in video's market capsule, become part of an exclusive club where apple and microsoft hanging out as the company invites different from the stocks and point just fine a few years ago. Nvidia's consumer, isn't you in me, it's the other companies that we buy from nvidia's partner, like amazon, hp.

Better, biggest innovation to power their own innovation. I S. Jenson about this concept of what happens when companies realized they need an video. S what I call getting IT right with jon.

Our technologies integrated into all these computer makers and the world connects IT together. And that's the reason why, and videos everywhere, where in every cloud.

every data thing is that we hear all the time. Well, you know, but amazons work on a competitive product. After that, all I hear from you is good. We want to help everybody develop whatever is necessary. You are not a war with clusters.

no. Well, we do something very different. First of all, our architecture, on the one hand, could do artificial intelligence, IT. Could do computer graphics, physics, simulation, data processing, equal data processing, which consumes a lot of energy, a lot of cost.

For many customers, we reduced by ninety five percent, twenty times reduction in cost and energy used, so much so that google's data proc is now accelerate to buy IT. Uh, we announced a partnership yesterday with a great company data breaks. They're going to accelerate their data process.

They're a large scale data processing cloud company. They're going to accelerate their data processing on IT. And so all of this is something you can do on our architecture. The other thing you can do with our architecture is everywhere. And so if you're developer and you develop on a video, you can run on A W S G C P as your hp dell IBM anywhere.

But if you can, everything is on our location. You say we can do that, but nobody has enough for in video product, correct? I does mark super work have enough in video with three hundred fifty thousand ships.

Well, it's going to be it's we're in the beginning of this AI computing rap and we're in the in the beginning of the accelerator computing round. It's it's last, it's a few years.

Be able to get we we know that you are tech power. I'm looking at tech power. I can't get enough tech power. So what do I do? How do I get right with jenson?

Everybody is right with me. They're fine. So so the most important thing thing is, is to work together to plan um for the delivery of the chips you have to place the po, get your data center ready um get all the engineers working on on these data centers together will make sure that everybody .

gets their part and they're all gonna close zooly customers for life. You can't just switch of your it's if IT, we're just chips, if we're just hardware that you could be a commodity, you not commoditize, you're going in the other way.

Videos of computing platform. yeah. So the applications that are developed for a hardware runs on our hardware.

but we're going to have to take a break. And when we come back, we're going to find out more about this man who is sitting opposite because it's amazing from brainstorm on an option to only managing a three trillion dollar company, Jason wong has become a real legend in the industry. Now those much were made money with via C. E. O. Jackson, one coming up.

Welcome back to make money with the C E. O. Chanson one. Janson, eight billion people did not get a degree in computer science. What are you doing to democratize this world?

We're going to make computers smarter so that they don't have to learn computer science to program a computer the computer should just understand. And what we want and what we intend.

But we said, please help me build a factory that can make the best .

cars well is surely will help a lot. And the reason for that is because you give IT a plan, you tell IT um what are the type of parts that you like to put into IT a eventually this factory will be a robot that's orchestrating a bunch of manufacturing robots that are building cars that .

are going to be robotic.

And why do robots look like people? What robots look like people? Because a couple of reasons. Uh, first reason, the most important reason is that we built the world for ourselves.

And so the work stations of a factory, the manufacturing line of a factory, was really created four people. And that's the most important reason. The second most important reason is that we have we have to teach a robot how to be a productive, and you need data for that. Where in the world where in order to write a software for a computer, we use data or training examples, and the computer learns from the examples, what we have, the most examples of human moving around of just about any other form of data.

You thought of this. Were you? Were you at Dennis sitting around us? And people in saying, you know what, we can do this IT may take twenty years, thirty years, but we're going to do this. When did you think of this?

Well, uh, we started the company one thousand and ninety three, and our big idea was acceleration, accelerating the work that CPU are not good at. And if we if we take that work that the CPU is not good at, and we uploaded to something that is incredibly good at IT, we can make the overall computer more efficient.

That was the big idea. But the game.

well, game was the first application. Game was just the first application.

A mistake a lot to say, you are gamer. No, you had.

We were so good and making the trip for games that people thought we were a game company.

intel, future game company. I know that you present here.

We were happy that anybody thinks of us at all. And we were so good at IT. And in fact, NVIDIA is the world's best game technology chip company today. We have i'm so proud of the work that we do there. And you know, as you know, games kind of a simulation, the virtual world.

And so but because of this, because of the whole day from danny all the way, somehow you are still the underdog. You are hungry. You make you feel like your companies going to go out of business. And thirty days.

you jim, that's probably something just related to upbringing. You know, I, you know, we grew up, we grew up working hard. My parents worked hard. Red or immigrants .

you write you with before them when you were nine?

Yeah yeah. And so my older brother brought me to the states. He was ten.

And so so we had a ten year old bring a nine year old to the u. states. And and a.

And so we we we had we had quite a great life, you know, and but we had to work for, and we were immigrants, and we took nothing for granted. And my parents work incredibly hard. They work incredibly hard today. And so so I think .

of that part of my DNA hard workers.

They work super hard.

And what divisions are they?

I have two kids. They both work at. The video took me a decade to convince them to come work here. They, they, they, you know, they wanted, they want to to go do their own thing.

and they want to be a chef.

One wanted to be a world class chef, and one I wanted to be a marketing and and and an artist. And so but now both of are here once a marketing and once an engineer. And so it's really terrific.

They can engineer the best cake error sphere is.

and Spencer is in robotics and medicine is in omniverous. And so they're .

doing amazing work. Okay, so are europe. Blackwell is, are these the most expensive things on earth?

Well, this, this, this chip is the heart of the black wall system. And this is the largest chip the world ever made. This is made A T S M C T sm for organ onomea process.

And IT is so large, we have to take two of the largest chips in the world and connect them together into one giant chip. And so that's the black world chip. That trip goes into the black world computer.

In this computer, the R N D budget is about ten billion dollars that took us, you know, about three years or so to make. And what goes into this is supported by a whole bunch of unbelieved networking in high speed I O and mounds of software. And that goes into a data center. And this data center becomes an artificial intelligence factory and IT produces artificial .

intelligence. What can we safely say that if we wanted to have to say a thousand incredibly smart people at our company, that they would not be collectively ve .

in a smarts that well depends on the type of smartness ah yeah um you know artificial intelligence is is a good at emulating emulating us and so IT emulated how we and IT IT emulates in order to emulate how we read and finish sentences and summarized paragraphs, IT had to understand what IT read. And so in order to emulate us, I had to understand words.

Okay, so I visit you six years ago. Five years ago. It's obvious to me when you show me the dog picking up the yellow and then you reward the dog, this is, i'm seeing something special and paintings says, and c escape. IT was so obvious, but they took chat, G, P. Team, everybody to know.

Well, ChatGPT is quite an amazing breakthrough. You know, the OpenAI engineers .

and scientists is based on this.

We were, am very proud that in videos, computers made a possible for ChatGPT b possible, but their, their researchers did. Just unbelievable.

There you have IT from jenson himself, and video computers made ChatGPT possible. This is why I say only IT don't trade IT. And what i've been pounding the table in this company ever since I saw its A, I create a painting at my request, they looked like he was done by this on and video is creativity, its computing power and its innovation more with them on at the break.

Welcome back to make money more with the video co. Jenson wang now. One of things that does concern me is we're not perfect yet. I went to microsoft copilot and I guess who your best partners and I said your best partner, I don't think that's .

true and tells a great partner IT tels, a great partner .

who is a great partner. We have to converse.

We work with just about everybody. You know what? Here's what.

In videos, a market maker, not share taker. okay? We create markets. Everything that we do didn't exist before.

But admire people. Some people so scared, so scared of a public fear that this is going to what make them so they don't have a job. But this is going to create jobs.

This is going to create jobs. It's going to make companies more productive. When companies are more productive, their earnings improve or their revenues go up. When that happens, they hire more people.

That's what industrial revolution, that's right, the room. And they made companies .

more productive, create more jobs and made the economy larger.

Is there a CPU that, that should be standard? Or wouldn't we want everything? Don't we want this in RPC? I know we don't have IT yet, but don't we want this ourself in a consumer fashion, not just business business?

Absolutely, absolutely. Every device will have will run artificial intelligence software. The question is, are they small software or larger software or gigantic artificial intel? I listening to .

you and I wonder what there be an arms race. We're not friendly with every country in the world. One other countries say, you know what? We have to create our own blackwell and compete or else we left behind because we shouldn't necessarily share what we have as a country.

The most important thing that countries have to do is to create their .

own intelligence.

There's a there. They have to do their own sovereign. And the reason for that is very simple.

They have a lot of data that belongs to their country. It's their natural resource. It's of their people, of their language, of their culture.

China to china's .

going to do their own anyways. But I wish every single country should harvest, should process the data of their culture and turn IT into intelligence that their own society can use. Swings already doing this.

India is working on doing this. Japan is working on doing this. I think every country should do their own and make sure that they own their own intelligence.

So you and most important.

it's because the data belongs to the people. It's their national assets, their national resources. Um IT could be IT could of of course be combined and shared with everybody else um but we're happy to to provide a hardware that helps everybody do that um but it's really important that all of the countries create their own soft N I.

I want to talk about the things that team of superfluous or frivolous but work, entertainment ah, the way we sing the language that we do IT people don't realize the music that I can write. So how does IT have so much creativity? IT understands .

music the way IT understands language. And you know, today when you ask ChatGPT a question, IT answers the IT answers your question on based on the context uh of the the conversation, what you could have a context of the music and the computer doesn't know the difference between letters, words and senses IT doesn't know if any more than IT knows you know, sounds and bars. And so so I could .

create music in the same way that I creates, uh, creates all things Better.

Better chemicals for drugs, drug able chemicals, Better proteins for A N lines for, you know, h any biotics.

Then let's bring you back to wall street. Wall street is trying to say trying to pig hole. And the truth is, is that your earnings have always succeeded. Even if you go back to twenty, sixteen old like your stock was expensive, try to be cheap.

How do we try to value what you talk about? Because I myself, who think that i'm a dollar sign represented by a man, I accept that I find IT that was supposed to be funny, like your speech is super funny. Thank you there. I was super, and I was.

I was laughed in inside.

Okay, okay, that's good. But you understand.

outside, I was just listening you inside, I was inside, I was .

so fast. I don't know what the time is, baby. To be a tenuous to our company because you're describing everything, you're describing everything that moves, everything that digitize could be Better. So if that's something that you can do with software and hardware, but that's not a two trillion dollar product.

the the opportunity for our company and the impact of our company has everything to do with the size of the industries that we serve. There's never been a computing company that has directly impacted so many large industries before. Artificial intelligence is not a january thing, is an artificial intelligence is an intelligence that is related to a particular domain.

And so the artificial intelligence of information is one for health care, another for transportations, another for manufacturing, for industrial. For each one of these industries, the technology that associated with making the impact for that industry is different. And so our opportunities very, very large.

okay. So you can meet to ban by any means. And I think they're still dismissed staining IT.

Well, there will be a transition between the age one hundred and black. All that stuff seems like it's not sense to me. It's a continuum.

M and people would even there are a lot of people would just die for you've never seen in h one hundred. It's not outmoded IT works. And I can you created a giant look for natural gas boat?

The demand is so high, every customer wants to have their harper right now, and they're .

more than happy. Jack, if I call him, I said, listen.

I think I can get one thousand. Would he be happy? Yes, because they want to build their business. They want to run their business today, not wait nine months from now to run their business. They want to run in today. And so so our chips are not a consumer product that you can wait next week for a year from now by it's an Operational part of your company and you want to run your company today. And so hoppers will will be in great demand and and I and great you know great great supply coming, but great demand for some time.

I thought that at the conference when the amazing things is there are many companies that have nothing to do with technology. I thought, john deer, they make tractors. They need you.

I love the fact that john deer here, they may robotic tracers, make farming more efficient, so that the farmers could be more prosperous, more prosperous. And so all of this you have, you have a retails, you have consumer. You are incredible industrials. Yeah, some of the .

world is rock. Well.

automation is here. In fact, one of my favorite things was a couldn't do because we ran out the time, but microsoft rockwell automation hax gon did a digital factory completely and simulation. And IT was just fantastic industrial digital twin IT was IT was a fantastic demonstration, I hope, that put IT online. But microsoft rock well and hacky did a great job.

This is what makes in video so different from the rest of the pack. The demand environment is unique. It's not just you, me asking for new iphone in a new car, even Better peace amazon meta viger tesla asking for Jason's latest elevations right now movie Jason wong after the break.

Jason, one go found in vid ninety three. He's been the president CEO of this company ever since. But the jon before the video is just as interesting is the jenson after we've got to talk a little bit about his personal and how is uppings brought him to where he is today.

Now I want to go back to your upgrade. I know you went to a special school and can talk you to turn up a special in a different way. I know that you were a little guy with the, with the glasses, and you got beat up a lot, but I also know that everybody and seems like you and you still maintain friends and you put a school up there. Who are you?

Ah I went to a school and the mission of the school is a to welcome anybody who who needs to come and and so are there are some some kids there uh that needed to go for you know behavior reasons. Some because they had broken homes, are in our case because we were immigrants and and IT was a score that was willing to take us. So the the openness of the score, the accessibility that score changed our lives.

And IT IT was a very important us. I'm very grateful to the school and need a back test institute. Yeah, it's a tough school with a bunch of tough kids because some of the some of the kids had to .

be there and something shot them over.

Yeah, they are good friends now. yes. yeah. Now let us have .

to ask you is there are two kinds of stacks. You talk about this kinds back and it's obviously worth billions. And then there's the stack that you used to serve, a Dennis, which of course.

is the full stack, my first company.

right? So which is more fun?

No, they will just depends on the time of day. You know, I first of all the the, I love my job at Daniel. You, you and I were both .

in the restaurant.

I washed a lot of dishes and I was very good at a good job. Yeah, I was a tougher job. yeah.

And and and then I was a bus boy. And, you know, the waiter and all the customers to great here. But like, I love that. Yeah and yeah.

you have a lot of joy in your life.

I do. I do. This can wonderful. Can imation a more perfect life.

okay. So what world is sure you most want to save earth too? Perhaps what artificial .

intelligence has its two greatest opportunities, I would say most greatest opportunities. The hardest one is to learn the language of life.

And that's health .

care of OK. That is, if we could solve that in this generation IT, would the impact to society be enormous? The other is to understand physics, understand science, multi physics, very large scale physics all the way down to small scale physics, so that we could predict the climate.

Um the ability for us to understand these two things are so so profound to society and we're so excited about IT. That's the reason why video has health care envios working on or two, so that we could help contribute to the industry and all the other scientists that are working on this. From our perspective of understanding how computers were and our perspective and our scale of computing, we might be able to make a contribution.

This these two areas super side about. I do want to thank you for the contribution you made to so many people who watch our show, who believe in you, are in our correct to do so.

I'm grateful for all your support. Thank you.

That was gently on the cofounder, president CEO of invidia, from the company's developers, covers in march. I would like to say this, always a market summer, I promise. I D find IT just for you, right?

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