Jensen Huang

At nine, Jensen Huang was the youngest boarder at a rural Kentucky reform school, cleaning bathrooms as his daily chore. An uncle had placed him and his brother there believing it was a prestigious boarding academy, and their parents had sold most of what they owned to pay the tuition. Huang taught his older, illiterate roommate to read, and the roommate taught him to bench press.¹

Huang is the co-founder and chief executive of Nvidia, a company that designs the graphics and computing chips that power video games, scientific supercomputing, and, since the mid-2010s, the training and operation of artificial intelligence models. Huang has led Nvidia continuously since founding it in 1993, making him one of the longest-serving CEOs of a major technology company, and Nvidia has grown under him into one of the most valuable public companies in the world.

Background

Huang was born on February 17, 1963, in Taipei, Taiwan. His father was a chemical engineer at an oil refinery and his mother a schoolteacher who taught her sons English by picking ten words from a dictionary each day, despite not speaking English herself. The family moved to Thailand when Huang was five. At age nine, Huang and his older brother were sent alone to the United States, communicating with their parents by mailing cassette tapes back and forth because phone calls were too costly.

The school was the Oneida Baptist Institute, which took in troubled youth; while Huang cleaned bathrooms, his brother worked its tobacco farm.¹

Two years later his parents moved to Beaverton, Oregon, and the family reunited. Huang skipped two grades, graduated from Aloha High School at 16, and was a nationally ranked junior table tennis doubles player. He chose Oregon State University for its low tuition and earned a bachelor's degree in electrical engineering in 1984, meeting his future wife, Lori Mills, in a lab class. He later earned a master's degree in electrical engineering from Stanford University in 1992, completing it at night while working full time as a chip designer.

Getting started

Before college, Huang worked the graveyard shift at a Denny's from ages 15 to 19, an experience he later credited with teaching him a systematic way of organizing tasks under pressure that he calls "mise en place."¹ After Oregon State he worked at AMD and then at LSI Logic, a chip design firm, where he met engineers Chris Malachowsky and Curtis Priem.

On April 5, 1993, Huang, Malachowsky, and Priem founded Nvidia at a Denny's in East San Jose, California, the same chain where Huang had worked as a teenager.¹ The original idea was chips for rendering 3D graphics on consumer PCs, aimed at gaming. The company's early years were unstable, pivoting through graphics workstations and gaming hardware before scientific computing became a serious secondary market. The turning point came from a bet Huang made starting in the mid-2000s: rather than treat Nvidia's graphics processors as single-purpose gaming hardware, he pushed the company to build CUDA, a software platform released in 2006 that let programmers use Nvidia GPUs for general-purpose parallel computing. That platform took roughly two decades of investment before it became the software layer underlying the training of large-scale AI models.

What he built

Nvidia went public in January 1999. For most of the 2000s and early 2010s it competed primarily as a maker of graphics cards for PC gaming and professional visualization. The CUDA ecosystem positioned Nvidia's GPUs as the preferred hardware for the parallel computations behind deep learning once that field took off in the early 2010s. As AI research and then commercial AI products scaled up compute requirements through the 2010s and 2020s, demand for Nvidia's data-center GPUs, including its H100 and successor Blackwell-generation chips, grew sharply, and Nvidia became the dominant supplier of processors used to train and run large AI models.

The company's market value rose accordingly: Nvidia crossed a $1 trillion market capitalization in mid-2023 and became the first company to reach $5 trillion in October 2025, the most valuable publicly traded company in history.¹ Huang has said he sees a path toward a $10 trillion valuation. His own stake has made him one of the wealthiest people in the world, with a net worth estimated above $190 billion in 2026, almost entirely concentrated in Nvidia stock. Beyond chips, Nvidia has extended into full data-center systems, networking, and software, and Huang has partnered with outside investors, including SoftBank's Masayoshi Son, on national-scale AI infrastructure projects such as the Japan AI Grid, combining AI-training "factories" with nationwide AI distribution networks.²

How he operates

Huang runs Nvidia with an unusually flat structure, with dozens of direct reports, and is known for pressing engineering and product teams for detail in meetings rather than accepting summaries. He has described the CEO's job, in terms later cited approvingly by other founders such as Ramp's Eric Glyman, as creating the conditions under which talented people can do their most important work, and as deciding which bets a company makes, including redirecting Nvidia away from a safer, narrower focus on video-game chips toward AI and scientific computing at several points in its history. Huang believes AI represents a shift in scale from a roughly $1 trillion software-and-tools industry to what he calls a $100 trillion "industry of work," in which AI systems perform tasks directly rather than merely assisting humans, and that intelligence built on computation faces no material ceiling the way physical industries do.² He also believes every country and company should build and control its own AI infrastructure rather than depend entirely on others, a stance he calls sovereign AI.² He has told investors, including Brad Gerstner, that he expects demand for AI inference to grow by roughly a billion times, as AI agents increasingly talk to other agents rather than only to humans.³

Where things stand

As of 2026, Huang remains founder, president, and CEO of Nvidia, a role he has held for more than three decades without interruption. Nvidia is the dominant supplier of AI training and inference hardware globally. Huang continues to appear frequently at industry events, including Nvidia's GTC conference, promoting both the expansion of Nvidia's AI infrastructure business and his views on AI's economic scale, and continues to strike large infrastructure partnerships, including with SoftBank on national AI-grid projects in Japan.²

Key facts

• Born February 17, 1963, in Taipei, Taiwan; sent alone with his brother to the United States at age nine and accidentally enrolled in a Kentucky reform school after tuition consumed most of the family's savings.
• Worked the graveyard shift at a Denny's restaurant from ages 15 to 19, then founded Nvidia at a Denny's in San Jose on April 5, 1993, with Chris Malachowsky and Curtis Priem.
• Introduced the CUDA parallel-computing platform in 2006, roughly two decades before it became the standard software layer for training AI models.
• Nvidia went public in January 1999 and became the first company in history to reach a $5 trillion market capitalization, in October 2025, after crossing $1 trillion in 2023.
• Has led Nvidia continuously as CEO for more than 30 years, one of the longest tenures of any major technology company founder.
• Net worth estimated above $190 billion in 2026, almost entirely held as Nvidia stock, making him one of the world's wealthiest people.