NVIDIA Case Study 2025 : Most Valuable Company in the World

Do you know the name of the most valuable company in the world? This company is more valuable than Apple and Microsoft. And it is growing the fastest in the world of tech. And here I am talking about NVIDIA. Recently, the valuation of NVIDIA company has become 3.33 trillion dollars. And this was a very surprising thing for NVIDIA.

Because this valuation mark was recently crossed by Microsoft and Apple. But do you know what is special about NVIDIA? Because until a year ago, this company was at 1 trillion dollars. And within a year, this company became 3 trillion dollars.

Let me tell you one thing. It took Apple 5 years to achieve this same thing. But a company like NVIDIA did it in just a year. Well, we know why NVIDIA is known as a graphic card. Because NVIDIA’s GPUs were very popular in laptops and gaming computers. And when you played games here, you must have seen the logo of NVIDIA here.

But if you see, NVIDIA is using graphic cards in different places in today’s time. And this is the reason that even though gaming is so popular, but this company took the right step at the right time and made its own place in the market. And because of this, NVIDIA has become the most valuable company in the world.

NVIDIA

Now, if you see, the special thing about NVIDIA was that it was made for gaming. Because at one time, the processors in the computers were not so powerful that they could do heavy graphic intensive tasks. And they thought that they needed a dedicated GPU. That’s why NVIDIA started here, where they make high-quality graphic cards and improve the gaming experience by using them.

And they work with a lot of game partners and do a lot of good work in gaming. But there is a special thing here. The graphic cards here are made in such a way that they can do other tasks along with gaming. Like in NVIDIA’s graphic cards, you get to see the KUDA course. And the special thing about this course is that it can perform other tasks along with graphics. Like parallel tasks, which can be done easily.

And because of this, NVIDIA’s graphic cards started to be used in other places as well. As the gaming industry grew, so did the company. And they made money from the graphic card business as well. But I saw a real boom when 4 years ago, there was a cryptomining crisis. When crypto mining was also known that NVIDIA’s graphics cards could do a lot of good work. And for this, the graphic card rates in the market skyrocketing.

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That means they skyrocketed and were sold at such an expensive price that there is no limit. Anyway, there was a crypto mining crisis, and when it went down, the graphic card rates calmed down.

And in the meantime, a lot of people realized that NVIDIA’s graphic cards can do more work than gaming. And after this, since the time of artificial intelligence in the last few years, the value of NVIDIA has been increasing continuously.

Because NVIDIA has its focus on the right time. Here, the graphic card shifted from gaming to AI. Now, this doesn’t mean that the focus has shifted completely. Even today, we focus on gaming and develop new technologies.

Even RTX, the rate racing, has been popularized by a company like NVIDIA in the market. But let me tell you something about NVIDIA. The graphic cards here are being used in artificial intelligence. And that too, because the parallel processing here can be done in a very good way.

Which is highly required in artificial intelligence. That’s why every big company in the world is taking their hardware from NVIDIA. So that they can build their AI technologies and create their server farms.

Even Elon Musk’s ex-AI, the chatbot that he has made, is also powered by NVIDIA’s server. And they are also taking NVIDIA’s technology. So that they can build their future factories and data centers here.

Even OpenAI’s chat GPT runs on NVIDIA’s servers in thebackend. Which is the technology that NVIDIA has made here. And this was their CEO’s vision. To establish the company in the right place at the right time. And see where you can do good. And this company didn’t just have to beat Intel and AMD.

Here, they have beaten every chip-manufacturing company in the world. Where they work. Because if you look at it, there is a requirement for processor and heavy processing in AI. And the way they are delivering their things in a very good way, that’s amazing. Even if we talk about NVIDIA, the special thing is that this company does a lot of R&D.

And makes good technology. But they don’t fabricate their own chips. Even today, they rely on TSMC. Even for graphic cards, NVIDIA relies on its board partners. Because of this other people buy its products. So if you see, they played a very smart move here. And their CEO, Jensen. He also established his company very smartly.

And created one of the most valuable companies here. Anyway, I really liked this thing about NVIDIA. But if you look at it with NVIDIA, then yes. If you look at it recently, Intel is also working here in AI. If you look at AMD, it is a very old company. They used to make CPUs. They also acquired GPUs. They also acquired Radeon-powered graphic cards.

And after that, they are also working there. It is worth seeing how AMD’s bounce back will be here. Because Ryzen did a very good job here. When its processors came here. Along with this, a company like Apple is also creating its Apple Silicon servers here. In which Apple Intelligence can be created. But still, if you give a query in it for Chad GPT.

It will go straight to NVIDIA’s hardware. So that was one thing going on here. But it is very interesting to see. How in a market, a company that started with gaming. Which people only knew in gaming. Is doing wonders in the world of AI today. And yes, this thing looks very good here. Even if I tell you one thing.

Even today, if you use a good quality RTX graphics card PC or laptop. In that too, you can do AI tasks here. Natively in your laptop and your hardware. You can even run your own chat LLM like GPT here. This is one thing that makes it special here. That is a simple thing. That one technology that they have developed here.

For a particular part. That thing here. They are using it elsewhere here. And that’s why they went ahead of the competition. And their timing was quite right. And one good thing is that. Here is the long-term vision of the company. How to make AI better here. Anyway, this was a small thing.

About Artificial Intelligence and NVIDIA. Rest, if you like the article. Then be sure to share the article with your friends. Who play games on NVIDIA’s graphics cards. Thank you for being with us. I will meet you in the next article. Goodbye.

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