this post was submitted on 01 Jul 2025
2080 points (100.0% liked)
Microblog Memes
8411 readers
2270 users here now
A place to share screenshots of Microblog posts, whether from Mastodon, tumblr, ~~Twitter~~ X, KBin, Threads or elsewhere.
Created as an evolution of White People Twitter and other tweet-capture subreddits.
Rules:
- Please put at least one word relevant to the post in the post title.
- Be nice.
- No advertising, brand promotion or guerilla marketing.
- Posters are encouraged to link to the toot or tweet etc in the description of posts.
Related communities:
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Well that's sort of half right. Yes you can run the smaller models locally, but usually it's the bigger models that we want to use. It would also be very slow on a typical gaming computer and even a high end gaming computer. To make it go faster not only is the hardware used in datacenters more optimised for the task, it's also a lot faster. This is both a speed increase per unit as well as more units being used than you would normally find in a gaming PC.
Now these things aren't magic, the basic technology is the same, so where does the speed come from? The answer is raw power, these things run insane amounts of power through them, with specialised cooling systems to keep them cool. This comes at the cost of efficiency.
So whilst running a model is much cheaper compared to training a model, it is far from free. And whilst you can run a smaller model on your home PC, it isn't directly comparable to how it's used in the datacenter. So the use of AI is still very power hungry, even when not counting the training.