Recently, Nvidia CEO Hwang In-hoon was interviewed on the “Mad Money” program hosted by Jim Cramer (Jim Cramer), a well-known US CNBC host and stock critic.

Kramer was an early supporter of Nvidia and a longtime fan of Hwang In-hoon. Cramer said after the conversation that Hwang In-hoon is a more visionary person than Musk and is one of the greatest CEOs of all time.

“Musk can foresee the future, but I think Hwang In-hoon is thinking about a legacy that will change the model of the entire world. Hwang In-hoon single-handedly created an industrial revolution.” Cramer said he has bought Nvidia shares and received significant financial returns.

In a video of more than 20 minutes released by Mad Money, Hwang In-hoon admits that Nvidia has re-invented computers using “accelerated computing” technology. Over the past 8 years, Nvidia has improved the performance of each GPU chip, and the AI computing power performance has increased 1,000 times.

Huang Renxun refers to the new Blackwell architecture B200 chip, which has 1000 times better AI performance than GPU products under the Pascal architecture 8 years ago.

“Now you can have a computer with a GPU graphics card that is 100 times faster, 20 times more energy efficient, and 20 times less expensive, and can solve complex problems and AI model technology.” Hwang In-hoon said.

Hwang In-hoon also thanked shareholders for their support at the beginning of the conversation. He said that with shareholder support, Nvidia can complete the work, fulfill Nvidia's hopes and dreams, and make a real contribution to the industry and the world.

Referring to the global AI arms race, Hwang In-hoon said that whether it is China, the US, or Sweden, the important thing that countries need to do is create their own AI technology and have a sense of sovereign AI.

“Because data belongs to the people. It's their country's asset, their country's resource. It can be combined and shared with everyone else, but we're happy to provide the hardware to help everyone do that.” Hwang In-hoon admits that through the advancement of AI technology, he hopes that every country should reap an autonomous and controllable AI technology system.

Looking ahead, Hwang In-hoon emphasized that future robots will look more like humans because they can create more automated factories and drive humans to automatically write computer software. As AI continues to evolve, companies using AI technology will become more competitive in the market and create more jobs, thereby making the economy larger.

The following is a summary of Hwang In-hoon's conversation, translated by an AI machine, and edited by Titanium Media (with abridges):

Jim Cramer: This is Jensen Huang (Jensen Huang), founder, president and CEO of Nvidia. My name is Leonardo da Vinci. Before we dive into what's happening here, take a look. Our viewers want to thank you for allowing them to retire from your stocks, enable their kids to finish school, and change their lives. I think it's polite to say that.

Hwang In-hoon: Thank you. I would like to say thank you to all of our shareholders. With their support. We can complete our work, fulfill our hopes and dreams, and make a real contribution to the industry and the world. So I wanted to thank you.

Jim Cramer: Thank you so much. Because we have to start this way because it's Mad Money—crazy money. What you've created here is extraordinary, and the stock market is paying off, $2 trillion in market capitalization. I asked, what do you think Nvidia did to deserve this kind of valuation? Maybe it's still pretty cheap.

Huang Renxun: I think there has probably never been a technology company that has made greater technological contributions to one of the most important industries in the world. On such a large scale, we've reinvented computers. From the second year I was born until 1964, the computer was the same.

And we reinvented it with the idea of “accelerated computing.” Now you can have a computer that's 100 times faster, 20 times more energy efficient, and 20 times less expensive, and can solve problems on a scale no one could have imagined. For example, we helped solve artificial intelligence; we have made tremendous progress in intelligent automation, and intelligence is the foundation of every industry. That's why they're all here.

Jim Cramer: Is this a smart factory?

Hwang In-hoon: This is in the future. This is what you're seeing right now. Can you guys see these servers? It's the most dense computer in the world. This replaced the entire data center of the past and shrunk them down to this small data center. This rack is probably more powerful than almost any computer.

Jim Cramer: In the midst of the world's “computer” transformation, will it take two years, or a few years? Is this going to be slow?

Hwang In-hoon: Every few years something even more incredible comes out. Over the past 8 years, we've improved the performance of every chip. In 8 years, we've increased the performance of one of our chips 1,000 times.

Jim Cramer: Does that mean it can quickly download a movie or read a book? Or what does it mean to say so fast?

Hwang In-hoon: First, it might read those things; it might read things about movies. If you want to ask questions about those movies or books, you can say read this book, now let me talk to you about this book, and you can talk to it about buying anything now.

Jim Cramer: Can it become a commercial product like Apple's Vision Pro? It would be great to be able to build it like a car and understand how it feels and what it sees. Perhaps this is the core company's sales element.

Hwang In-hoon: First, I love Vision Pro. I have to tell you that it's really great. I really enjoyed it and they did a great job with it. Track the world, register all objects in the world, and you'll think they're actually in the scene.

And the great thing is that when we connect Vision Pro to this world, we call it Omniverse, and it runs on these computers. Essentially, we've created this digital world that overlaps with the physical world, and Apple calls it spatial computing. You think you're almost there.

Jim Cramer: Can AI solve healthcare problems? Parkinson's disease has evolved for decades, but no one has been able to conquer it, so is it possible now?

Huang Renxun: Just as we use AI technology to understand a novel, we can use similar technology to understand the meaning of protein and the meaning of life. Now, once we understand the meaning of life and can operate and use it in computers, we can use computers to simulate life so we don't have to do a lot of screening in a humid lab. We can do a lot of screening on the computer, and the computer does it very fast. We can explore a larger chemical space, explore the target protein space, bigger and faster.

Therefore, no matter how we finally decide to conduct tests, there will be a higher possibility of using AI technology to actually discover more small molecule technologies through experiments.

Jim Cramer: I'd love to encourage people to watch your speech, especially the last soaring future and the gorgeous footage of your speech. But people don't realize that you are actually a supplier to another company. This is what I think, one of the reasons why Nvidia is a $2 trillion company is because Nvidia doesn't have a mobile phone terminal.

Huang Renxun: But there has never been a computer company like us. We've created a new way of computing, we're partnering with everyone, and everyone's going to work here. Researchers and scientists have entered the $100 trillion AI industry to transform healthcare, financial services, manufacturing, and more.

When we finished building all of these computers, we broke them down into multiple parts, integrated them into Microsoft, Azure, HP, Dell, and IBM products, and brought them to market. The application software is provided by companies such as Cadence and Synopsys.

In fact, the companies we work with are really great; we integrate our technology into enterprise products such as Autodesk and Adobe, and even into all computer manufacturers to connect the world to them (us). That's why we have Nvidia everywhere, in every cloud, in every data center.

Jim Cramer: It's something we hear all the time, but Amazon is developing a competitive AI chip product rig. Everything I've heard from you is good; it seems like I haven't heard a “war” with the customer.

Huang Renxun: We're doing something very different.

The first is our GPU architecture. On the one hand, it can do AI, and on the other hand, it can also do computer graphics, physical simulation, data processing, SQL data processing, etc. And this requires a large amount of energy (volume) and a huge cost.

For many customers, we've reduced costs by 95%, continued energy usage has been reduced by 20 times, and even Google's data support is now being accelerated by GPUs.

We announced a technological breakthrough yesterday in collaboration with a major company. Using GPUs, they will be able to process data faster. And all of these are things you can do on Nvidia.

If you're a developer and you're developing on NVIDIA, you can run it on AWS, Azure, HP, Dell.

Jim Cramer: But demand is high right now, and many people say there aren't enough Nvidia products. Zuckerberg also posted a video saying that 350,000 GPU cards are missing.

Huang Renxun: We are at the beginning of the AI computational climb, and humans are in the beginning of accelerated computing.

Jim Cramer: How many years will it take to get it? How can I work with Jensen's company if I can't get enough technical skills?

Hwang In-hoon: Everyone is with me and they are very nice. The most important thing is to work together to plan for chip delivery. You must prepare your data centers and have all of your engineers work together in these data centers. We'll make sure everyone gets their part.

Jim Cramer: We understand that you're not just making chips, not just hardware, and even more of a product; you're going the other way.

Huang Renxun: Accelerated Computing Platform. As a result, many hardware-developed applications run on our hardware.

Jim Cramer: So I'd like to thank a lot of people, 150 people (shareholders). I know they (shareholders) want the stock split. Why can't you give it to us?

Hwang In-hoon: We'll consider it. We've done stock splits in the past, and by the way, one thing I really like about stock splits is that it's good for stock purchases and benefits our employees and others. Walmart also said this is a good thing. We want to make sure that our employees are taken care of. They did such an incredible job for us.

Jim Cramer: Hwang In-hoon has driven a new industrial revolution and created so much value for shareholders. Jensen, if 8 billion people don't have a computer science degree, how can you “democratize” the world's computer technology?

Hwang In-hoon: We want computers to be smarter; they don't need to learn computer science to write applications. Computers should only understand what we want and what we intend.

Jim Cramer: For example, Nvidia helped us build a factory that can make the world's top cars?

Hwang In-hoon: It can do this, and it will definitely help a lot. The reason is that you gave it a plan and you told it what type of parts you like to put in. Eventually, this factory will become a robot that will command a group of manufacturing robots that are building cars that are about to become robots.

Jim Cramer: Does this robot look like a human?

Hwang In-hoon: This robot will look more and more like a human. For a few reasons: The first important reason is that we built a “workstation” in the world factory for ourselves, and the factory's production line is really creative for people; the other reason is that we have to teach robots how to be an efficient robot. You need data. In our world, in order to write computer software, we use data or training examples, and computers learn from examples. We have the most examples of humans moving any other form of data.

Jim Cramer: This is a great thing, so when you founded Nvidia, did you want to do this in the next 20 or 30 years? When did you think of “accelerated computing”?

Huang Renxun: We founded this company in 1993. Our biggest idea at the time was AI acceleration, and we didn't want to hand over things that CPUs weren't good at to customers because we made GPUs, which could make the entire computer more efficient. That's a great idea. And gaming is our first application area.

Jim Cramer: There are a lot of misconceptions that you're a gamer.

Hwang In-hoon: We are good at making game chips because people think we are a game company.

Jim Cramer: Intel thinks you're a game company.

Huang Renxun: We're happy that someone can think of us. We're very good at games. In fact, Nvidia is the best gaming chip company in the world. What we have today, I'm proud of the work we did there (the game). Because of this, the game is a simulation of a virtual world.

Jim Cramer: But you were at a disadvantage at the time, making people think your company would go out of business within 30 days.

Hwang In-hoon: This may have something to do with education. We grew up working hard. My parents are immigrants and have always worked hard. Therefore, my brother brought me to the US when I was ten. My parents have two children, 10 years old and 9 years old, in the US, and we have to work hard for it. We are immigrants and we take nothing for granted. My parents work very hard. They are working very hard today.

So I think part of my DNA is more people working harder than watching outside voices. I have two kids. They all work for Nvidia. It took me ten years to convince them to work here. And they want to do their own thing.

Jim Cramer: What were they trying to do then? Want to be a chef?

Huang Renxun: One wants to be a world-class chef, and the other wants to be a marketer and artist. But now they're both here, one is a marketer and the other is an engineer. So this is really great.

Jim Cramer: They can design the best cake ever.

Huang Renxun: They are working hard for the Blackwell system chip — the most expensive thing on Earth, the most powerful AI chip ever in the world, manufactured by TSMC TSMC's 5nm process. We have to connect the world's two largest chips into one giant chip.

This is a computer with a BlackWell chip implanted. The BlackWell computer has a development budget of about $10 billion, and we spent about three years to make, and the interior includes an incredible network, high-speed I/O, and extensive software support.

It's not just a data center, it's also an AI factory, and it's spawning AI technology.

Jim Cramer: Can we say for sure that if we wanted 1000 really smart people in our company, they wouldn't be that smart?

Hwang In-hoon: It depends on the type of intelligence. AI is good at imitating us. It mimics how we read; it mimics how we read, complete sentences, and summarize paragraphs. It must understand what it is reading. So in order to imitate us, it must understand the text.

Jim Cramer: So I visited you 5 years ago, and when you showed me “the dog picks up the jelly, then you reward the dog,” it was something special for me. So I'm drawing a picture with a seascape on it, and I really need ChatGPT to let everyone know about this.

Hwang In-hoon: ChatGPT is a pretty amazing breakthrough, developed by OpenAI engineers and scientists. We're very proud that they used Nvidia GPU graphics cards and did an incredible job.

Jim Cramer: One thing I'm worried about right now is that we're not perfect. I went to the Microsoft team and asked who Nvidia's best partner is, and it said your best partner is Intel. I don't think that's true.

Hwang In-hoon: Intel is a great partner.

Jim Cramer: Who are Microsoft's great partners? Whom do we convince. Why are some people so afraid of AI replacing humans?

Hwang In-hoon: We work with everyone, not stock takers. We created the market, and everything we did didn't exist before.

I still believe AI will create jobs, which will make companies more productive. When a company's productivity increases, their earnings increase, and so does their revenue. When this happens, they hire more people.

Jim Cramer: This is called the industrial revolution.

Hwang In-hoon: Right. This is what generative AI is; this is the “steam engine” it makes. Companies using AI technology will be more productive (competitive in the market), create more jobs, and make the economy larger.

Jim Cramer: I wonder, won't AI have an arms race in the future? We're not friendly to every country in the world. Other countries won't say, must we create our own BlackWell chips to compete or else we'll fall behind?

Hwang In-hoon: In the future, every device will run AI software. But the question is, are they small software, big software, or giant AI technology? In my opinion, the most important thing for countries to do is create their own AI and have “sovereign artificial intelligence” (AI).

They must be their own sovereign AI for a simple reason. They have lots of data belonging to their country. It's their natural resource. It's their people, their language, their culture.

Jim Cramer: So you want to encourage China to do the same?

Huang Renxun: China will do their own thing no matter what, but I hope every country should harvest, process data on their culture, and turn it into intelligence that their own society can use. Sweden is already doing that. India is trying to do that. Japan is trying to do this. I think every country should do its own thing and secure its AI technology.

Jim Cramer: So without American hegemony, this would be terrible.

Hwang In-hoon: But the most important thing is because data belongs to the people. This is their national asset, their national resource. It can be combined and shared with everyone else, but we're happy to provide the hardware to help everyone do that. What is really important is for all countries to establish their own sovereign allies.

edit/lambor