# The Complete History of Nvidia: From a Denny's Booth to a $5 Trillion AI Empire
Few company stories are as improbable as Nvidia's. It began with three engineers in a diner booth, betting on a market that barely existed. It nearly died more than once. And it spent years building technology that almost nobody understood, until suddenly, it became the single most important company of the AI era. This is the complete history of Nvidia (NVDA), from 1993 to its reign as the most valuable company on Earth.
The Improbable Beginning (1993-1999)
On January 25, 1993, Jensen Huang, Chris Malachowsky and Curtis Priem founded Nvidia at a Denny's restaurant in San Jose, California. The name came from "invidia," the Latin word for envy, the green of envy, which became the company's signature color. Huang, then 30, has been CEO ever since, an almost unheard-of tenure in tech.
The early years were brutal. Nvidia's first chip, the NV1, flopped, and the company nearly went bankrupt more than once. But in 1999, two things changed everything: Nvidia went public on the Nasdaq, and it launched the GeForce 256, which it billed as the world's first "GPU" (graphics processing unit). The GPU redefined PC gaming and, though no one knew it yet, laid the foundation for modern AI.
Beyond Games: The CUDA Gamble (2006)
Here is the decision that made everything else possible. In 2006, Nvidia launched CUDA, a software platform that let developers use GPUs for general computing, not just graphics. Suddenly, the parallel-processing power of a gaming chip could be pointed at science, research and math problems.
At the time, it looked like an expensive distraction. Wall Street questioned why a gaming company was pouring money into a niche developer tool. That "distraction" would become Nvidia's deepest moat, the reason it dominates AI today. Patience, and vision, were about to pay off spectacularly.
The AI Spark (2012)
The turning point came in 2012, when a neural network called AlexNet shattered records in an image-recognition contest, and it was trained on Nvidia GPUs. That moment jump-started the deep-learning revolution, and researchers everywhere realized Nvidia's chips were the fastest way to train AI. What began as a way to render video-game explosions turned out to be the perfect engine for artificial intelligence.
The Bet Nobody Understood (2016-2020)
Jensen Huang went all-in on AI long before it was obvious. In 2016, he personally hand-delivered Nvidia's first DGX AI supercomputer to a young startup called OpenAI. Nvidia poured resources into data-center chips and AI software while its stock was still seen mostly as a gaming play.
In 2020, Nvidia acquired networking company Mellanox, deepening its data-center reach. The pieces of an AI empire were quietly falling into place, even as most investors still thought of Nvidia as "the company that makes graphics cards."
The Stumble (2022)
Nvidia's rise has not been a straight line. In 2022, its ambitious $40 billion attempt to acquire chip designer ARM collapsed under regulatory pressure. At the same time, the crypto-mining crash and a gaming slowdown gutted demand, and Nvidia's stock fell more than 50%. Once again, skeptics wondered if the story was over. It was about to begin.
The Explosion (2023)
Then came ChatGPT. The launch of generative AI in late 2022 and 2023 triggered a global scramble for the chips that could train and run these models, and Nvidia's H100 GPUs were the only game in town. Demand went vertical. Revenue exploded, margins soared, and Nvidia's stock did something rarely seen in a mega-cap company: it multiplied several times over, rocketing the company into the trillion-dollar club. The years of building CUDA and AI infrastructure paid off all at once.
The Throne (2024-2026)
Nvidia's ascent only accelerated. In 2024, it executed a 10-for-1 stock split to make shares more accessible, launched its next-generation Blackwell architecture, and became one of the most valuable companies on the planet. By March 2026, it was the most valuable public company in the world at over $3.4 trillion, powering more than 90% of all AI model training.
And it kept climbing. Today, Nvidia (NVDA) trades around $230 a share with a market cap above $5.5 trillion, a scale almost impossible to fathom. Crucially, Nvidia is no longer just a chipmaker. It is building the entire AI stack: its own open models like Nemotron 3 Ultra, a landmark $13 billion acquisition of the open-source AI hub Hugging Face, and sovereign-AI partnerships like its deal with Palantir. Owning the silicon was just the start; now it owns the ecosystem.
Blackwell, Rubin, and the Race to $5 Trillion
If CUDA was the foundation, Nvidia's modern chip roadmap is what turned it into a giant, and the pace is relentless.
Blackwell arrived in 2024 as the successor to the Hopper generation, the H100 chips that fueled the first wave of the AI boom. Named after mathematician David Blackwell, the architecture and its flagship GB200 systems delivered a massive leap in performance and energy efficiency for training and running ever-larger AI models. Demand was so intense that supply sold out well in advance, and Blackwell became the engine behind Nvidia's record results, including a single quarter with roughly $96 billion in revenue, up more than 100% from a year earlier.That success drove one of the most staggering milestones in market history. Having first crossed $1 trillion in 2023, Nvidia went on to become the first company ever to reach a $5 trillion valuation, climbing five-fold in barely two years. No company had ever scaled to that size so fast.
But Nvidia is not standing still. Its next-generation platform, Rubin, named after the astronomer Vera Rubin, is built to succeed Blackwell and keep Nvidia on a roughly annual release cadence, a brutal pace few rivals can match. Rubin pairs with Nvidia's own new "Vera" CPUs, and the scale of commitment is already visible: Amazon Web Services agreed to buy around 2 million Nvidia GPUs, with some of its Vera CPUs integrated with Rubin. Each new generation widens the moat, as we cover in Nvidia's record earnings and the 2 million GPU AWS deal.
By the Numbers: What Makes Nvidia, Nvidia
- Market cap: over $5.5 trillion, among the largest ever for any company.
- ~90% of AI training runs on Nvidia GPUs, a near-monopoly on the picks and shovels of the AI gold rush.
- CUDA: roughly two decades of software that locks developers into Nvidia's ecosystem, its single greatest competitive advantage.
- One CEO: Jensen Huang has led Nvidia since day one in 1993, a rarity that has kept its long-term vision intact.
- Valuation: a P/E around 29, which, remarkably, looks reasonable next to pure-play AI names like Palantir (PLTR) trading far higher.
What Comes Next?
Nvidia's dominance is staggering, but the challenges are real. Rivals like AMD (AMD) are fighting for AI-chip share, and hyperscalers (Amazon, Google, Microsoft) are building custom silicon to reduce their Nvidia dependence, a battle we cover in Nvidia vs AMD. And at a $5 trillion valuation, expectations are sky-high, raising the perennial question of whether it is a generational company or a bubble, which we examine in Is Nvidia a Bubble?.
Want to check Nvidia's live valuation, fundamentals and analyst verdict? See the Nvidia (NVDA) page, and compare it with peers using our Stock Screener.
The Bottom Line: The Defining Company of the AI Age
From a Denny's booth to a $5 trillion empire, Nvidia's journey is the story of patient vision meeting a once-in-a-generation technology wave. It survived near-bankruptcy, a failed megadeal and a 50% crash, and each time emerged stronger. Its CUDA moat, its ecosystem strategy, and Jensen Huang's decades of consistent leadership make it the defining company of the AI age.
Our take: A generational business, but mind the price. Nvidia's dominance is real and its moat is formidable, this is one of the great corporate stories in history. But a $5 trillion valuation prices in enormous future growth, leaving little room for error. Long-term investors may accumulate on pullbacks rather than chasing all-time highs; the risk is not the company, it is the expectations already baked into the stock.Frequently Asked Questions
When was Nvidia founded?
Nvidia was founded on January 25, 1993, by Jensen Huang, Chris Malachowsky, and Curtis Priem at a Denny's restaurant in San Jose, California.
Who founded Nvidia and who is its CEO?
Nvidia was co-founded by Jensen Huang, Chris Malachowsky, and Curtis Priem. Jensen Huang has been CEO since day one in 1993, one of the longest tenures of any technology founder.
How did Nvidia become an AI company?
Nvidia's path to AI began with CUDA, the software platform it launched in 2006 that let its gaming chips handle general computing. When the AlexNet neural network was trained on Nvidia GPUs in 2012, researchers realized its chips were the fastest way to train AI, and the 2023 generative-AI boom did the rest.
Why is Nvidia so valuable?
Nvidia is worth over $5.5 trillion because its GPUs power roughly 90% of all AI model training, giving it a near-monopoly on the most essential hardware of the AI era, protected by its CUDA software moat.
What was Nvidia's first product?
Nvidia's first chip, the NV1, launched in 1995 and flopped. Its real breakthrough came in 1999 with the GeForce 256, which it marketed as the world's first GPU.
How did Nvidia get its name?
The name comes from invidia, the Latin word for envy, which also inspired the company's signature green branding.
What are Blackwell and Rubin?
Blackwell is Nvidia's 2024 AI chip architecture that succeeded the H100-era Hopper generation, and Rubin is its next-generation platform, keeping Nvidia on a roughly annual release cadence that few rivals can match.
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This article is for informational purposes only and is not financial advice. Always do your own research before investing.
