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Motley Fool Hidden Gems Investing

AI and ai

Motley Fool Hidden Gems Investing

The Motley Fool

Investing, Business

4.33.1K Ratings

🗓️ 22 November 2023

⏱️ 17 minutes

🧾️ Download transcript

Summary

Uppercase, lowercase, doesn’t matter. Nvidia and OpenAI are the ones to watch in artificial intelligence.  (00:20) Asit Sharma and Dylan Lewis discuss: Nvidia’s epic quarter and the market’s ho-hum response.  The OpenAI drama, corporate governance, and  How they’re making their turkeys this Thanksgiving.  Companies discussed: NVDA, MSFT Send us your questions, show ideas, and feedback at podcasts@fool.com, or leave us a voicemail at 703-254-1445. Host: Dylan Lewis Guests: Asit Sharma Engineers: Rick Engdahl Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

Major updates from the two biggest names in AI, Motley Full Money starts now.

0:09.7

I'm Dylan Lewis and I'm joined over the airwaves by Motley Full analyst

0:15.5

Ossit Sharma. Ossit, thanks for joining me.

0:18.0

Dylan, thank you for having me.

0:20.0

We are heading into the Thanksgiving holiday and we are talking about the hottest dinner table topic artificial intelligence

0:27.1

We've got earnings from the industry's number one supplier and the latest on the open AI drama.

0:33.0

Osset, let's start with NVIDIA earnings.

0:36.0

I have to be honest, the numbers don't even seem real

0:40.0

when you look at what this company did on the top and bottom line,

0:43.0

Hassett.

0:44.0

Yeah, totally, Dylan, looking at a quarter in which

0:48.0

NVIDIA booked $18 billion in revenue,

0:52.0

and on that had net income of 9.2 billion dollars.

0:56.7

It's better than a 50% profit margin.

1:01.1

Revenue was up 2006% year over year and even accelerated 34% quarter over quarter.

1:08.0

So this is just something phenomenal but it also proves out a bit of the case on

1:14.7

invidia that it is a central player in artificial intelligence going forward that

1:20.3

its GPU it, super computer

1:23.1

gepu complexes especially, are mission critical

1:26.4

for companies that want to work with large language models.

1:30.0

So I think we saw a company just executing to its potential really fulfilling as much of its

1:36.1

salesbook as it humanly could.

...

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