this post was submitted on 15 Feb 2024
151 points (93.6% liked)

Technology

59332 readers
4603 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
[email protected]
[email protected]
L4s
enu
151
“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 to c/technology
52 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

you are viewing a single comment's thread
view the rest of the comments
[–] TheGrandNagus 3 points 9 months ago

And to add: currently TSMC nodes have a reticle limit of 858mm². I.e. that's the largest chips you can make on their wafers. Then in the real world you do it slightly below that.

Future nodes are reducing this to the 350-450mm² range.

High end GPUs/HPC cards basically have to go to multi-die, even in the fantasy world of 100% perfect yields.