Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Nvidia $NVDA vs Intel $INTC: 2014 to today

5,026,457 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Evan
Evanvor 2 Jahren

Nvidia $NVDA just has a small lead today 😅

Profilbild von QueenAurcle
QueenAurclevor 2 Jahren

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

Profilbild von Thomas F Murray
Thomas F Murrayvor 2 Jahren

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!

Profilbild von Michael Sheridan
Michael Sheridanvor 2 Jahren

False equivalence. Intel produces chips. Nvidia produces cards.

Profilbild von Steve Jurvetson
Steve Jurvetsonvor 2 Jahren

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.

Profilbild von Sensei 🔺
Sensei 🔺vor 2 Jahren

The commentary in the video is underrated.

Profilbild von Sapan Shah
Sapan Shahvor 2 Jahren

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

Profilbild von Yasir
Yasirvor 2 Jahren

Slow and steady always wins the race.

Profilbild von Old Mate Engineer
Old Mate Engineervor 2 Jahren

Who ever chose the colours of this chart should be sacked

Profilbild von Jesse White
Jesse Whitevor 2 Jahren

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.

Ähnliche Videos