How Nvidia Came to Rule AI

Unless you were really into desktop PC gaming a decade ago, you probably didn’t give Nvidia much thought until recently. The company makes graphics cards, among other tech, and has earned great success thanks to the strength of the gaming industry. But that’s been nothing compared to the explosive growth Nvidia has enjoyed over the past year. That’s because Nvidia’s tech is well-suited to power the machines that run large language models, the basis for the generative AI systems that have swept across the tech industry. Now Nvidia is an absolute behemoth, with a skyrocketing stock value and a tight grip on the most impactful—and controversial—tech of this era.
This week on Gadget Lab, we welcome WIRED’s Will Knight, who writes about AI, as our guest. Together, we boot up our Nvidia® GeForce RTX™ 4080 SUPER graphics cards to render an ultra high-def conversation about the company powering the AI boom.
Show Notes
Read Lauren’s interview with Nvidia cofounder and CEO, Jensen Huang. Read Will’s story about the need for more chips in AI computing circles, and his story about the US government’s export restrictions on chip technology. Read all of our Nvidia coverage.
Will recommends WhisperKit from Argmax for machine transcription. Mike recommends getting your garden going now; it’s almost spring. Lauren recommends Say Nothing, a book by Patrick Radden Keefe.

Will Knight can be found on social media @willknight Lauren Goode is @LaurenGoode. Michael Calore is @snackfight. Bling the main hotline at @GadgetLab. The show is produced by Boone Ashworth (@booneashworth). Our theme music is by Solar Keys.
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Note: This is an automated transcript, which may contain errors.
Lauren Goode: Mike.

Michael Calore: Lauren.

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{Author}Lauren Goode, Michael Calore, Will Knight{/Author}
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