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| ▲ | noosphr 5 minutes ago | parent | next [-] |
| Hospitals can also just run on the sunny days. Renewable energy only makes sense in a society that is agrarian. The second you have to make anything industrial you need baseload. That baseload can either be coal or nuclear. |
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| ▲ | CodesInChaos 32 minutes ago | parent | prev | next [-] |
| If you spend many billions buying GPUs, you don't want to turn them off during the night. |
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| ▲ | chaos_emergent 2 hours ago | parent | prev | next [-] |
| It’s an industrial supply bottleneck and rollout timeline incompatibility rather than a Dr Doom Evil Genius Complex that prevents everyone from deploying solar. The race dynamics make the discount rate on GPU deployments very high. Solar is preferable when you have a ton of unproductive land and longer timelines to set it up - it’s certainly going to be cheaper than gas when everyone goes sets up NG plants as option 1 for new energy capacity. The other confound is that China is the primary supplier of battery and solar tech, I’m sure that supply chain risk becomes part of the calculus when setting up so much infrastructure. For scale, the current DC is about 8k acres, and the solar to run 7.6GW is almost 40k acres. |
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| ▲ | ecshafer 15 minutes ago | parent | prev | next [-] |
| I don't see why this isn't obvious. Terafab is a FAB not a datacenter. |
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| ▲ | cbmuser an hour ago | parent | prev | next [-] |
| »Don't understand why.« Because you cannot turn a large datacenter with thousands of aggregates, power supplies and so on off and on like a toaster. |
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| ▲ | bensyverson 2 hours ago | parent | prev | next [-] |
| I would assume that training pales in comparison to inference when it comes to energy use, taking into account the number of inference users |
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| ▲ | legulere 2 hours ago | parent | prev | next [-] |
| The problem is that the grid can’t get built out fast enough. You’ll probably see most AI data centers switch to grid power in the coming years using mostly wind and solar because it’s simply cheaper as well |
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| ▲ | jiggawatts 36 minutes ago | parent | prev | next [-] |
| The reasons are: - Running billions of dollars worth of GPUs only 30-50% of the time insanely wasteful. Everyone else is running them at 99% duty cycle or close to it. - Solar is big and generally has to be built far from where the data centres are. Transmission is already a bottleneck in many states. Adding tens of gigawatts requires non-trivial large scale infrastructure investment by… the utility companies, not SpaceX. Not to mention regulatory hurdles, etc. - Battery production is already mostly maxed out, so obtaining tens of gigawatt hours of capacity on short notice is a decent percentage of global production. Gas and other fossil fuel power plants can be deployed adjacent to the data centres for effectively zero transmission loss and no long powerlines that upset the NIMBY types. They can work 24/7 and are largely available right now, but as others have pointed out the turbine blades are a limiting factor with these too. |
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| ▲ | nielsbot 3 hours ago | parent | prev | next [-] |
| and would be cheaper in the long run? or maybe they could even do solar + storage. i guess even at this stage “gas is easier” is still winning… |
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| ▲ | dgellow 3 hours ago | parent | prev | next [-] |
| You’re talking about one of the most hated person on hearth with one of the worst reputation. The literal Nazi salute guy. I don’t think he cares much about positive PR like that |
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| ▲ | snippylongpossu 2 hours ago | parent | prev [-] |
| Elon has aligned with the hard-right. He'd rather own the libs and hurt the global south than do that. |