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.
The model has to be trained, refined, etc. You running it off grid isn’t the entire process, but I agree with you in a different sense.
If not AI, then there would be some other kind of compute taking up server capacity. It’s on the data centers to solve this one, not AI.
yea but the models are already trained and noone pays to use the open source ones, so you’re not really contributing to the training greenhouse gas emissions if you use an open source gen ai model locally.
Training a model isn’t free. It takes money and compute. That’s also the greenhouse emissions. Even if you don’t pay for any model and run it locally using solar, you’ve still got to consider what came before.