Nvidia, the world's first $5 trillion company, has emerged. The "GPU Empire" surpasses the GDP of Japan and Germany.

Tonight, NVIDIA has once again made history!

Affected by the GTC conference, NVIDIA's stock price rose by 4.15%, making it the first company with a market value exceeding $5 trillion!

This is an unprecedented milestone, not only for NVIDIA, not only for GPU chips, but also for the AI era.

Extended reading: Jensen Huang throws out the world's most powerful GPU late at night! The computing power soars a hundredfold. Maybe he should play Thor next time.

The speed of NVIDIA's market value growing from $1 trillion to $5 trillion is getting faster and faster:

From $0 to $1 trillion: 6,138 days;

From $1 trillion to $2 trillion: 180 days;

From $2 trillion to $3 trillion: 66 days;

From $3 trillion to $4 trillion: 273 days;

From $4 trillion to $5 trillion: 78 days!

Since the emergence of ChatGPT at the end of 2022, NVIDIA's stock price has risen by 1,087%, a full ten - fold increase!

Jensen Huang just announced at the GTC conference yesterday that NVIDIA is expected to achieve $500 billion in GPU sales by 2026.

Compared with the revenue of $60.9 billion in fiscal year 2024, in just two years, NVIDIA's revenue has almost skyrocketed by 8 - 9 times.

More importantly, overseas analysts said that NVIDIA's $5 - trillion market value comes with a reasonable valuation.

According to the data disclosed at the GTC conference, NVIDIA's data - center revenue guidance for the next five quarters is expected to reach $400 - $500 billion, corresponding to an expected EPS of about $9 - $11 in 2026.

Calculated at a dynamic PE of 35 times, the theoretical valuation range is $3.15 - $3.85 trillion. If the market continues to give a growth premium, the $5 - trillion market value corresponds to a PE of about 45 times in 2026.

As of the time of publication, the stock price increase has continued to exceed 5%. It's destined to be a sleepless night.

NVIDIA's market value exceeding $5 trillion is not only a milestone but also a declaration.

The company founded by Jensen Huang has evolved from a chip manufacturer to a creator in the AI industry.

Three years ago, before OpenAI's ChatGPT came out, NVIDIA's market value was about $400 billion.

Subsequently, its stock price has grown explosively, in complete sync with the development of AI.

Jensen Huang said that by 2027, the capital expenditures of just six major cloud - computing giants, Amazon, Meta, Google, Microsoft, Oracle, and CoreWeave, will increase to $632 billion.

As of October 24th, when NVIDIA's market value was $4.5 trillion, five days later, NVIDIA became the first company in the world with a market value exceeding $5 trillion!

What does $5 trillion mean?

According to the global national GDP statistics in 2024, NVIDIA with a market value of $5 trillion has surpassed Germany and Japan, becoming the world's third - largest economy after the United States and China!

China's GDP in 2024 should be $18.74 trillion.

NVIDIA's current market value is equal to 16% of the US GDP!

Even, its market value exceeds the total of all banks in the United States and Canada.

Jensen Huang's net worth

Jensen Huang holds approximately 3% of NVIDIA's shares, with an estimated net worth of $174.4 billion, making him the world's eighth - richest person.

As NVIDIA's market soars, his wealth has also been growing, rising from $2.7 billion in 2017 to $21.1 billion in 2023 and reaching $77 billion last year.

Tonight, Jensen Huang's net worth has risen again, with the value of his shares increasing by about $9 billion overnight.

According to Forbes, Jensen Huang's current net worth is $182.1 billion - just a few hours after his meeting with former President Trump.

Welcome to the era of the "AI factory"

Imagine a traditional factory: raw materials such as steel and plastic are input, and after a series of production lines, a car is output.

Jensen Huang said that the future "AI factory" is the same.

Its raw material is data, its production line is a huge data center, and the final product it continuously outputs is "intelligence".

This "intelligence" can be used to predict the weather, drive a car, discover new drugs, and manage a city.

All the dazzling new technologies and collaborations at this GTC conference essentially revolve around the core question of "how to build and operate these AI factories."

So, how did NVIDIA build this huge AI empire step by step?

AI - native 6G, reshaping "connection"

In the past, mobile phone signal towers were "dumb" and only sent and received signals.

The cooperation between NVIDIA and Nokia aims to equip these signal towers all over the world with AI brains.

In the future 6G network, signal towers can not only provide faster internet speeds, but also analyze network congestion in real - time, allocate resources intelligently, and even transform into an edge - computing node to provide computing power for surrounding AI devices during late - night network idle times.

The network is no longer just a simple pipeline but a "neural network" with perception and thinking ability.

Autonomous driving, defining "travel"

Autonomous driving has been talked about for many years, but why has it been slow to be widely implemented? The reason is that urban traffic is too complex.

NVIDIA's answer is to directly empower cars with the top - level intelligence produced in the "AI factory."

With the support of the Hyperion 10 platform, their cooperation with Uber aims to deploy 100,000 Level - 4 autonomous vehicles by 2027.

This will be a huge fleet that is about to change the rhythm of the city.

Digital twin, revolutionizing "creation"

Before starting construction, can we first build an entire factory perfectly in the virtual world?

Giants like Disney and Foxconn are doing this with NVIDIA's Omniverse platform.

They create a "digital twin" factory that is exactly the same as the real world, test every movement of the robot arm and optimize every production line in the virtual space until the efficiency is maximized, and then replicate it in the real world with one click.

This is not only a revolution in the manufacturing industry but also a revolutionary way of creation that reduces the "trial - and - error cost" to zero.

Empowering science, exploring the "unknown"

What is the ultimate goal of AI? It is to help humans solve the most difficult problems.

NVIDIA is collaborating with the US Department of Energy to build the most powerful AI supercomputer in the United States with 100,000 top - level GPUs to simulate complex scientific phenomena and accelerate new - drug research and development.

Meanwhile, NVIDIA is also connecting AI supercomputers with future quantum computers through a brand - new interconnection technology, NVQLink, to challenge the unknown areas that classical computing cannot reach.

Building a "new world"

What supports all these grand blueprints is NVIDIA's underlying technology.

Among them, the most notable is NVIDIA's real "moat" - CUDA.

It is a set of programming languages and tools, the "official language" for AI developers to communicate with GPUs.

Hardware can be imitated, but a software ecosystem that has thrived for more than a decade and has millions of developers is almost impossible to replicate.

In the past, we often said that NVIDIA was selling shovels during the AI gold rush.

But this GTC conference tells us that NVIDIA is becoming the "infrastructure builder" and "rule - maker" in this new era.

Perhaps, this is the real ambition of a company with a $5 - trillion market value.

Reference materials:

https://analyticsindiamag.com/global-tech/what-really-happened-inside-nvidias-gtc-dc-2025/