Nvidia is Close to Becoming a Trillion Dollar Company Beating Tesla and Facebook

Nvidia is Close to Becoming a Trillion Dollar Company Beating Tesla and Facebook

This week, the stock prices of Nvidia, a well-known company that makes computer chips, jumped dramatically, bringing the company’s value close to a trillion dollars.

Nvidia’s total worth has hit an amazing $939.3 billion, thanks to a 24% rise in its stock price. This is more than what Tesla is worth ($584.7 billion) and Facebook worth ($647.6 billion).

Nvidia is now one of the biggest companies in terms of market value. It is second only to tech giants like Apple, Google, Microsoft, Amazon, and the Saudi state oil giant Saudi Aramco.

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The latest quarterly results from Nvidia, which were released at the end of Wednesday’s trading day, sparked this big rise. The business said that it wants to make more chips in order to keep up with the growing demand in the market.

Nvidia has made it clear that it is the leader when it comes to chips used in artificial intelligence (AI) systems.

After ChatGPT came out to the public in November, there was a huge increase in excitement that had never happened before. Its effects went far beyond the technology business.

ChatGPT is a very famous artificial intelligence (AI) app that can help with things like making speeches, programming computers, and even cooking.

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But all of these accomplishments depend on good computer technology, especially the cutting-edge computer chips made by Nvidia, a company with headquarters in California.

Nvidia was first known for making computer chips that were mostly used for visual processing, especially in computer games. Now, it is an important part of most AI apps.

The graphics processing units (GPUs) from Nvidia were used a lot in the teaching of ChatGPT. In particular, about 10,000 of these GPUs were put to use and grouped together in a Microsoft machine.

It is just one of many supercomputers made with tech from Nvidia. At the moment, the American chip company has about 95% of the market for GPUs used for machine learning.

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