this post was submitted on 15 Sep 2024
649 points (97.4% liked)

Technology

59207 readers
4075 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
 

cross-posted from: https://lemmy.ml/post/20289663

A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.

The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.

(page 2) 19 comments
sorted by: hot top controversial new old
[–] [email protected] 1 points 1 month ago (2 children)

There exists an alternative that uses a lot less power. And also that power is going to get spent no matter what anyway.

load more comments (2 replies)
[–] Melvin_Ferd 0 points 1 month ago

From construction of three data centers or everyday use. Weird wording this whole article.

[–] [email protected] -1 points 1 month ago (3 children)

If I run some AI model on my GPU and power my computer via solar power and some batteries, am I actually contributing significantly to GHG emissions?

Like what is the embodied energy of an AI model?

As usual, pundits and scientists confuse what is and what could be with the truth. For example plastic recycling isn't possible because "right now economics don't make it profitable". Meaning capitalism is killing us, not plastics. I suspect the same is true for AI.

load more comments (3 replies)
[–] Matriks404 -3 points 1 month ago (1 children)

Does that take into account that AI models will become more efficient with time?

load more comments (1 replies)
load more comments
view more: ‹ prev next ›