Genius, Architect, Businessman, Philanthropist


Jensen Huang is a business giant born in Taiwan who founded the graphics processing company Nvidia. He graduated with a Masters degree from Stanford University and continues to serve as the president of the company to this day.

Forbes has rated Huang amongst its top 100 US highest-paid CEOs. At the age of 54 he has been responsible for a variety of success in design and business.

Being raised originally in Taiwan and then moving to Oregon he would attend high school in Portland and eventually start with a degree in electrical engineering which he would complete a Masters degree for in 1992.


Shortly after he finished his college degree he started working developing micro devices with LSI logic and Sun Microsystems. He worked at AMD for a time until his 30th birthday when he cofounded Nvidia. It estimated that his stock is worth over $1.4 billion and he regularly takes home salaries of over $25 million as a CEO annually.

As well as taking home quite a large salary each year, Huang also regularly donates a portion of his salary back to his alma mater Stanford. With a $30 million donation one year the school was able to build an engineering school named after Huang in the new science and engineering quad. Huang has won multiple awards as a business leader as well as for his philanthropic choices each year.


From the creator of a chipset that is now powerful enough to build the future of virtual reality to plans to produce powerful tools that could one day usher in the future of artificial intelligence, Huang has fantastic plans for the future.

Many would put Jensen Huang in the same category as billionaires like Jeff Bezos and Elon musk for his incredible dedication. Nvidia was created with the dedication in mind to one day create systems that could learn and become more powerful than ever. Huang is suggesting that were starting to see the early symptoms of this now. He hopes that over the next several years of development at Nvidia that he can work to create generative adversarial networks (GAN) which could effectively be AI that works to develop its own knurled network. Nvidia is producing the chipsets in power that could have AI regularly writing software that humans simply cannot write. The future of Jensen Huang and Nvidia could represent more than just a better graphics card, but solving human problems that were previously unsolvable thanks to AI solutions.