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☆ Nvidia CEO scrubbed floors to pay for table tennis tournaments in high school—now he's worth $115 billion
  + stars: | 2024-12-17 | by ( Tom Huddleston Jr. | ) www.cnbc.com   time to read: +3 min
"I loved that sport, but I never loved it more than academics," Huang told the Post-Intelligencer. He "worked the graveyard shift at a Portland Denny's and hung out at Paddle Palace," The Oregonian reported in 2008. Bochenski was taken with Huang's table tennis skills, calling the then-teenager "perhaps the most promising junior ever to play table tennis in the Northwest" in a letter that Sports Illustrated published in January 1978. Huang has occasionally spoken about the lessons he learned while attempting to become a table tennis champion. "Unfortunately, resilience matters in success," Huang told students at Stanford University in March.
Persons: Long, Jensen Huang, Huang, Tae Kim, Lou Bochenski, Judy, Bochenski, Kim, Huang couldn't, he's Organizations: Nvidia, U.S, Seattle Post, Intelligencer, Post, Bloomberg, Oregonian, U.S ., Stanford University, CNBC Locations: Portland , Oregon, Taiwan, Portland, Las Vegas
☆ Meet the $10,000 Nvidia chip powering the race for A.I.
  + stars: | 2023-02-23 | by ( Kif Leswing | ) www.cnbc.com   time to read: +8 min
Powering many of these applications is a roughly $10,000 chip that's become one of the most critical tools in the artificial intelligence industry: The Nvidia A100. The A100 is ideally suited for the kind of machine learning models that power tools like ChatGPT, Bing AI, or Stable Diffusion. Huang, Nvidia's CEO, said in an interview with CNBC's Katie Tarasov that the company's products are actually inexpensive for the amount of computation that these kinds of models need. "We took what otherwise would be a $1 billion data center running CPUs, and we shrunk it down into a data center of $100 million," Huang said. Huang said that Nvidia's GPUs allow startups to train models for a much lower cost than if they used a traditional computer processor.
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