[Lex Computer & Tech Group/LCTG] AI Energy Requirements

[Jerome Slate]

Dear LTCG Group,
No worries about the AI energy load ~ 40% increase in USA energy output 
by 2050.
Small modular nuclear reactors are coming to the rescue.
We will have a live speaker on this topic on Feb 12.
George W Griffith PhD from the Idaho National Laboratory, part of the 
Dept of Energy, will present this topic.
We are all saved.

Jerry Slate


On 12/31/2024 11:05 AM, Robert Primak via LCTG wrote:
> The problem is, New Scientist has a paywall. To read the article we 
> would have to subscribe. (Which might not be a bad idea for some of us.)
>
> But anyone can listen to this audio-only breakdown of the same 
> fundamental concepts.
>
> *How Running AI Computations Backwards Can Save Energy*
> https://www.youtube.com/watch?v=kKAwpyj98m0 
> <https://www.youtube.com/watch?v=kKAwpyj98m0>
> The Singularity Labs | 12:35 m:s
>
> Fascinating discussion, and makes the concepts much clearer.
>
> BTW, reverse-time computation has nothing to do with time as in 
> space-time. It's a technique of doing some calculations back-to-front, 
> as well as front-to-back. It can be much more efficient in terms of 
> CPU and NPU loads, as well as making the computations happen faster.
>
> Pruning of irrelevant background details has an even greater effect on 
> computational efficiency.
>
> Given the huge energy demands of AI, as well as AI's tendency to use 
> up a lot of GPU and other hardware resources, this is an important 
> area of concern.
>
> -- Bob Primak
>
> On Tuesday, December 31, 2024 at 10:10:16 AM EST, John Rudy via LCTG 
> <lctg at lists.toku.us> wrote:
>
>
> I have been getting this very interesting magazine for a couple of 
> months.  It is mostly short stories on a VERY wide swath of technical 
> issues.  Seems to be UK based. It is a weekly of about 40 pages, and  
> the 12/29 article had this article on the cost of AI computing and the 
> way in which computers use so much money erasing data.  I only 
> partially understand it but it appears to be well worth reading.  Then 
> someone with more knowledge that I can explain it at a meeting.
>
> https://www.newscientist.com/article/mg26435231-300-how-to-fix-computings-ai-energy-problem-run-everything-backwards/
>
> John Rudy
>
> 781-861-0402
>
> 781-718-8334  cell
>
> 13 Hawthorne Lane
>
> Bedford MA
>
> jjrudy1 at comcast.net
>
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