this post was submitted on 15 Feb 2024
0 points (NaN% liked)

Technology

59587 readers
2940 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago
MODERATORS
L3s@lemmy.world
L4s@lemmy.world
L3s@fry.gs
L4s@fry.gs
enu@lemmy.world
0
“In 10 years, computers will be doing this a million times faster.” The head of Nvidia does not believe that there is a need to invest trillions of dollars in the production of chips for AI (gadgettendency.com)
submitted 9 months ago by L4s@lemmy.world to c/technology@lemmy.world
4 comments fedilink hide all child comments
 

“In 10 years, computers will be doing this a million times faster.” The head of Nvidia does not believe that there is a need to invest trillions of dollars in the production of chips for AI::Despite the fact that Nvidia is now almost the main beneficiary of the growing interest in AI, the head of the company, Jensen Huang, does not believe that

top 4 comments
sorted by: hot top controversial new old
[–] Buffalox@lemmy.world 0 points 9 months ago* (last edited 9 months ago) (1 children)

Sorry I have doubts, because that would require a factor 4x increase every year for 10 years! 4x^10 = 1,048,576x
Considering they historically have had problems achieving just twice the speed per year, it does not seem likely.

[–] rhebucks-zh@incremental.social 0 points 9 months ago (1 children)
[–] Buffalox@lemmy.world 0 points 9 months ago* (last edited 9 months ago)

Yes, but usually we keep those 2 kinds of optimizations separate, only combining chip design and production process. Because if the software is optimized, the hardware isn't really doing the same thing.
So yes AI speed may increase more than just the hardware, but for the most sophisticated systems, the tasks will be more complex, which may again slow the software down.
So I think they will never be able to achieve it even when considering software optimizations too. Just the latest Tesla cars boast about 4 times higher resolution cameras, that will require 4 times the processing power to process image recognition, which then will be more accurate, but relatively slower.
We are not where we want to be, and the systems of the future will clearly be more complex, and on the software are more likely to be slower than faster.

[–] General_Effort@lemmy.world 0 points 9 months ago

Despite the fact that Nvidia is now almost the main beneficiary of the growing interest in AI, the head of the company, Jensen Huang, does not believe that additional trillions of dollars need to be invested in the industry.

*Because of

You heard it, guys. There's no need to create competition to Nvidia's chips. It's perfectly fine if all the profits go to Nvidia, says Nvidia's CEO.