Nvidia, up 1 Moutai or 3 Ning Wang overnight! Humanity accelerates into the AI era?

Mondo Technology Updated on 2024-02-24

On the evening of February 22, Nvidia soared 15% after the U.S. stock market opened, and as of that day, Nvidia's stock price reached 785$38, up more than 16%, a record high, with a market value of nearly $2 trillion, becoming the third largest company after Microsoft and Apple.

Overnight, Nvidia's market value skyrocketed by $273.3 billion (about 2 trillion yuan), what is this concept?

To make a simple comparison, taking the A-shares we are familiar with as an example, the market value of Kweichow Moutai is now 216 trillion yuan, and the market value of CATL is about 700 billion yuan.

In other words, Nvidia only used one night to rise 1 Moutai or 3 Ningwang.

But that's not all, in fact, Nvidia's stock price has soared 40% since the beginning of the year, like an accelerator that has left Amazon and Google's parent company Alphabet behind.

And the reason why Nvidia is so hot is mainly due to the huge demand for AI around the world, in the words of Nvidia CEO Jensen Huang"Accelerated computing and generative AI have reached a tipping point."

It is precisely because of the soaring market value of Nvidia that the value of founder Jensen Huang has risen, according to the Forbes real-time rich list, his worth has reached $69.4 billion, surpassing China's richest man Zhong Sui and rising to the 21st place on the world's richest list.

True to the name verifies that sentence:

The gold diggers are still trying, and the shovel sellers have made a lot of money.

In fact, after reading the 2023Q4 report card handed over by NVIDIA, it is estimated that everyone will not be so surprised by this round**.

The reason is simpleUnlike those AI concept stocks that are all kinds of weird and hot, Nvidia is too profitable.

On February 21, Nvidia announced its Q4 financial report for 2023, which showed that Nvidia's revenue in the fourth quarter reached $22.1 billion, a year-on-year increase of 265%, and its net profit soared to $12.3 billion, a year-on-year increase of 769%.

Just talking about this report card, who else?

Some time ago, OpenAI released SORA, and many people were surprised by the speed of development of generative AI, and behind the rapid development of AI technology, Nvidia made a lot of money and made a lot of money.

All companies in the world, one counts as one, as long as they research AI, they can't get around Nvidia, and they must buy their chips.

As for whether AI can make money and how much money it can make, it doesn't matter, because Nvidia has already made money by selling its own chips.

Every time Nvidia's stock price skyrockets, some people feel that it has risen too hard and too fast, and the current stock price is too expensive, and it will definitely fall back in the future.

However, according to Huang's judgment, the hardware upgrade of the entire AI industry is still in its early stages, and the future market still needs $2 trillion of NVIDIA chips to meet the future demand for computing power.

So how much money can Nvidia make if it sells $2 trillion in chips? Anyway, the current results are definitely not the end, and the future is unimaginable.

If we compare the current AI fever to the gold rush, then Nvidia is the one who sells shovels.

Countless tech giants, start-up companies, and Middle Eastern tycoons rushed to deliver money to Nvidia's door and buy its "shovel" to "pan for gold".

It can be said that NVIDIA's AI chip is an admission ticket to the AI industry, and if you can't buy its chip, you can't even enter the AI industry.

So now the key question is, why NVIDIA?

If we open the perspective of God, we can find thatThis "strongest shovel seller" has an extraordinary and vicious vision, and almost every time he can accurately hit the hot spots in the industry.

For example, in 2015, with the rise of "VR fever", NVIDIA immediately released products with soaring performance such as 1060, because the chips that squeezed toothpaste before could not support the performance requirements of VR devices;

Another example is the rise of autonomous driving in 2016, Nvidia customized an autonomous driving computing card for Tesla overnight;

Another example is the blockchain in 18 years, after the rise of the "mining boom", Nvidia became a gas station for mine bosses, and its market value directly increased from $14 billion in 16 years to $175 billion.

Finally, now, the same script has been staged again, with the shareholder wind of AI, NVIDIA's market value has approached 2 trillion, and it has increased more than 10 times again.

With such an accurate vision, stepping on several outlets in a row, who is underdeveloped in Nvidia?

Seeing that Nvidia sold "shovels" and became the world's third largest company by market capitalization, is no one blushing?

The answer is clearly noIn fact, in order to catch up with Nvidia, its competitors have broken their hearts.

In June last year, AMD launched its own competitor, the Mi300X, which has basically caught up with Nvidia's flagship in some performance.

And from the perspective of NVIDIA's key customers, in order to ensure the security and cost advantage of the future ** chain and reduce the procurement cost of AI chips, Microsoft, Google and other technology giants are actively supporting.

Second, the third ** business.

Even in order to get rid of the dependence on NVIDIA, Microsoft, Google, Amazon and other giants are still developing their own chips, such as Amazon has made two AI-specific chips, namely the training chip Trainium and the inference chip Inferentia, Google's *** TPU and so on.

Therefore, although Nvidia does have a faulty advantage in the field of AI chips, it is still unknown whether this advantage can be maintained.

Maybe the future may really be like what Musk said:

"Nvidia will not have a monopoly in the large model training and inference chip market forever. ”

Write at the end:

Nvidia's stock price soared, once again verifying the truth of "science and technology is the primary productive force".

Mankind is accelerating into the AI era, the demand for computing power is expanding, although the challenger has been eager to try, but Nvidia has taken off, and its future ceiling is in**, no one knows.

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