Comment on Lemmy be like
jimjam5@lemmy.world 4 days agoWhat? Elon Musk’s xAI data center in Tennessee (when fully expanded & operational) will need 2 GW of energy.
Comment on Lemmy be like
jimjam5@lemmy.world 4 days agoWhat? Elon Musk’s xAI data center in Tennessee (when fully expanded & operational) will need 2 GW of energy.
Blue_Morpho@lemmy.world 4 days ago
Rockstar games: 6k employees 20 kwatt hours per square foot esource.bizenergyadvisor.com/…/large-offices 150 square feet per employee unspot.com/…/how-much-office-space-do-we-need-per…
18,000,000,000 watt hours
vs
10,000,000,000 watt hours for ChatGPT training
washington.edu/…/how-much-energy-does-chatgpt-use…
Yet there’s no hand wringing over the environmental destruction caused by 3d gaming.
Glitterkoe@lemmy.world 4 days ago
And then you have a trained model that requires vast amounts of energy per request, right? It doesn’t stop at training.
You need obscene amounts GPU power to run the ‘better’ models within reasonable response times.
In comparison, I could game on my modest rig just fine, but I can’t run a 22B model locally in any useful capacity while programming.
Sure, you could argue gaming is a waste of energy, but that doesn’t mean we can’t argue that it shouldn’t have to cost boiling a shitload of eggs to ask AI how long a single one should. Or each time I start typing a line of code for that matter.
jimjam5@lemmy.world 4 days ago
Semi non sequitur argument aside, your math seems to be off.
I double checked my quick phone calculations and using figures provided, Rockstar games with their office space energy use is roughly 18,000,000 (18 million) kWh, not 18,000,000,000 (18 billion).
Blue_Morpho@lemmy.world 4 days ago
I put the final answer in Watt hours, not Kw hours to match. ChatGPT used 10B watt hours, not 10B Kwatt hours.
jimjam5@lemmy.world 4 days ago
Ahh was wondering where the factor of 1000 came from.
Without turning into a complete shootout, I can kind of see the point with comparing energy usage, but as others have said with these massive data centers it like comparing two similar but ultimately different kinds of beasts.
As stated by others, beyond just the energy used in training of generative AI models in data centers, there’s also the energy it needs to fulfill requests once implemented (24/7, thousands of prompts per second).