What? Elon Musk’s xAI data center in Tennessee (when fully expanded & operational) will need 2 GW of energy. That’s as much as some entire cities use in a year.
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.
Hi. I’m in charge of an IT firm that is been contracted to carry out one of these data centers somewhat unwillingly in our city. We are currently in the groundbreaking phase but I am looking at papers and power requirements. You are absolutely wrong on the power requirements unless you mean per query on a light load on an easy plan, but these will be handling millions if not billions of queries per day. Keeping in mind that a single user query can also be dozens, hundreds, or thousands of separate queries… Generating a single image is dramatically more than you are stating.
Edit: I don’t think your statement addresses the amount of water it requires as well. There are serious concerns that our massive water reservoir and lake near where I live will not even be close to enough.
Edit 2: Also, we were told to spec for at least 10x growth within the next 5 years which, unless there are massive gains in efficiency, I don’t think there are any places on the planet capable of meeting the needs of, even if the models become substantially more efficient.
AI uses 1/1000 the power of a microwave.
Are you really sure you aren’t the one being fed lies by con men?
What? Elon Musk’s xAI data center in Tennessee (when fully expanded & operational) will need 2 GW of energy. That’s as much as some entire cities use in a year.
Rockstar games: 6k employees 20 kwatt hours per square foot https://esource.bizenergyadvisor.com/article/large-offices 150 square feet per employee https://unspot.com/blog/how-much-office-space-do-we-need-per-employee/#%3A~%3Atext=The+needed+workspace+may+vary+in+accordance
18,000,000,000 watt hours
vs
10,000,000,000 watt hours for ChatGPT training
https://www.washington.edu/news/2023/07/27/how-much-energy-does-chatgpt-use/
Yet there’s no hand wringing over the environmental destruction caused by 3d gaming.
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.
Hi. I’m in charge of an IT firm that is been contracted to carry out one of these data centers somewhat unwillingly in our city. We are currently in the groundbreaking phase but I am looking at papers and power requirements. You are absolutely wrong on the power requirements unless you mean per query on a light load on an easy plan, but these will be handling millions if not billions of queries per day. Keeping in mind that a single user query can also be dozens, hundreds, or thousands of separate queries… Generating a single image is dramatically more than you are stating.
Edit: I don’t think your statement addresses the amount of water it requires as well. There are serious concerns that our massive water reservoir and lake near where I live will not even be close to enough.
Edit 2: Also, we were told to spec for at least 10x growth within the next 5 years which, unless there are massive gains in efficiency, I don’t think there are any places on the planet capable of meeting the needs of, even if the models become substantially more efficient.