this post was submitted on 01 Dec 2023
125 points (83.4% liked)

Technology

58013 readers
3237 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
enu@lemm.ee
fry@fry.gs
L3s@fry.gs
enu@lemmy.world
L4s@fry.gs
L4s@lemmy.world
125
Making an image with generative AI uses as much energy as charging your phone (www.technologyreview.com)
submitted 9 months ago by misk@sopuli.xyz to c/technology@lemmy.world
22 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] DreadPotato@sopuli.xyz 44 points 9 months ago (2 children)

A high(er) end smartphone has a battery capacity of approx. 0.019kWh (5000mAh), a gtx3080 has a max power draw of 320W so running that (at max load) for two hours is 0.64kWh, which is equivalent to fully charging ~34 smartphones.

[–] Cocodapuf@lemmy.world 10 points 9 months ago

Thanks for actually doing the math.

[–] jdaxe@infosec.pub 5 points 9 months ago* (last edited 9 months ago)

So the headline must be false, since you can generate a lot more than 34 generative AI images on a 3080 in 2 hours. That's if you just include inference though.

I wonder if they are somehow trying to factor in the training costs.