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Nvidia $NVDA vs Intel $INTC: 2014 to today

5,026,457 views • 2 years ago •via X (Twitter)

10 Comments

Evan's profile picture
Evan2 years ago

Nvidia $NVDA just has a small lead today 😅

QueenAurcle's profile picture
QueenAurcle2 years ago

Intel could not do a 7nm chip or a 5nm chip Nvidia is almost to a 1nm chip

Thomas F Murray's profile picture
Thomas F Murray2 years ago

One of the reasons I bought $NVDA back in 2011 was because I thought I missed out on $INTC I remember reading an article by @JamesStewartNYT who was an early investor in $INTC - he was highlighting the multiple stock splits of the nineties (4 in total and 1 in the year 2000) - I was also buying it because at the time people were talking about how $NVDA's GPU patents were worth the sum of the market cap of the stock. Who knew it would have an almost 2 trillion dollar market cap one day. Not me!

Michael Sheridan's profile picture
Michael Sheridan2 years ago

False equivalence. Intel produces chips. Nvidia produces cards.

Steve Jurvetson's profile picture
Steve Jurvetson2 years ago

Yup - Intel ceded leadership to NVIDIA a decade ago. They no longer define the frontier of Moore's Law. This graph covers a 10,000,000,000,000,000,000x improvement in computation/$. Intel lost to NVIDIA for neural networks because the fine-grained parallel compute architecture of a GPU maps better to the needs of deep learning.

Sensei 🔺's profile picture
Sensei 🔺2 years ago

The commentary in the video is underrated.

Sapan Shah's profile picture
Sapan Shah2 years ago

High paid CEOs vs scrappy, stock compensation based founder/CEO

Yasir's profile picture
Yasir2 years ago

Slow and steady always wins the race.

Old Mate Engineer's profile picture
Old Mate Engineer2 years ago

Who ever chose the colours of this chart should be sacked

Jesse White's profile picture
Jesse White2 years ago

Bitcoin created a demand for hashing power which resulted in increase investment by GPU manufactures. Which catalyzed deep learning advancements since it dramatically reduced the time needed to run an experiment.

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