NVIDIA CEO Jensen Huang, 23rd Richest Person On Planet, Once Worked As A Waiter In An Eatery

Artificial Intelligence (AI) is expected to be the future of the world, and no discussion on the same is complete without the mention of Jensen Huang, CEO of NVIDIA. Huang is said to be the undisputed king of advanced chips that are now driving AI applications. With a $64.2 billion net worth, Huang is now ranked 23rd on the list of the richest people in the world. NVIDIA’s market capitalization has surged to 1.83 trillion dollars, or Rs 15100000 crore.

Born in Tainan City, Taiwan in 1963, Jensen Huang’s family first relocated to Thailand when he was five years old. At the age of nine, he and his brother were sent to Tacoma, Washington to live with an uncle. He then attended Oneida Elementary School in Kentucky, and after completing his studies, he graduated from Aloha High School, which is located just outside of Portland. Huang also once worked as a waiter at Denny’s restaurant. Along with Chris Malachowski and Curtis Priem, he co-founded Nvidia in 1993. The three men founded the company in a meeting at a Denny’s roadside diner in East San Jose where Jensen Huang worked.

The business was founded with $40,000 in the bank. Subsequently, Sequoia Capital and other investors invested $20 million in the company. Initially the company had no name. The co-founders of Nvidia first gave all of their files the designation NV, which stands for “next version.” The co-founders’ decision to incorporate the business led them to search through all phrases that had those two letters, ultimately arriving at “invidia,” which is the Latin word for envy.

In 2007, Forbes ranked Jensen Huang as the 61st highest paid CEO in the United States with a salary of US$24.6 million. Recently, Nvidia achieved a major feat when it briefly overtook the stock market cap of Google parent Alphabet on February 14. Recognised as a leader in artificial intelligence, Nvidia briefly held the title of third-largest US company. This significant growth in valuation is due to the demand for Nvidia’s chips, which are used extensively in AI computing.

Original news source