Comment on Tankie
athatet@lemmy.zip 1 day agoAi uses large servers and data farms. It doesn’t have to throttle your machine because it isn’t using your machine.
Comment on Tankie
athatet@lemmy.zip 1 day agoAi uses large servers and data farms. It doesn’t have to throttle your machine because it isn’t using your machine.
Deceptichum@quokk.au 1 day ago
No it does not. When I run an offline model on my local machine it uses my 4 year old GPU and runs for ~50 seconds.
starelfsc2@sh.itjust.works 1 day ago
90% of people do not use offline models, especially for everyone doing ai code and video. The offline models are undeniably worse and slower. These ai companies didn’t just magic billions out of thin air, most people are using the massive data farms. Also people are generally not playing 14 hours a day maxed out gaming, where for ai they might use it all day during work.
brucethemoose@lemmy.world 1 hour ago
I am late to this argument, but data center imagegen is typically batched so that many images are made in parallel. And (from the providers that aren’t idiots), the models likely use more sparsity or “tricks” to reduce compute.
Task energy per image is waaay less than a desktop GPU. We probably burnt more energy in this thread than in an image, or a few.
And this is getting exponentially better with time, in spite of what morons like Sam Altman preach.
There’s about a billion reasons image slop is awful, but the “energy use” one is way overblown.
ClamDrinker@lemmy.world 1 day ago
The existence of offline models highlights a nuance that some people deny even exists though, causing people to talk around one another. I wish it would be more widely acknowledged, as it would make some around AI conversations easier.
bbboi@feddit.uk 21 hours ago
Does the physical location of the hardware really matter?
starelfsc2@sh.itjust.works 22 hours ago
So I did some more research, and evidently if you’re going to use AI at all, you’re probably increasing your energy usage by using it offline if you use it often (unless you are using renewables), since the data centers generally have cards specifically designed for AI. I think it might just be a case of everyone needs to use it significantly less, it’s like if 4k gaming was something the average joe was doing. If everyone was doing that 10 hours a day, we would have a big problem.
It’s kinda like saying it’s not immoral to go for a pleasure drive, but if you’re driving around 10 hours a day that’s probably not good and you should minimize it as much as you can.