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[GH-ISSUE #1091] Minor correction on page 12 #29641
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Reference: github-starred/cs249r_book#29641
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Originally created by @lttelezynski on GitHub (Dec 31, 2025).
Original GitHub issue: https://github.com/harvard-edge/cs249r_book/issues/1091
Originally assigned to: @profvjreddi on GitHub.
On page 12 where you talk about GPT-3 training energy consumption, a comma is used instead of a dot. It states 1,287 MWh, but should be 1.287 MWh.
@profvjreddi commented on GitHub (Dec 31, 2025):
Thanks @lttelezynski - I will check it out.
@lttelezynski commented on GitHub (Dec 31, 2025):
@profvjreddi I checked multiple sources and made some rough calculations, and it looks like 1,287 MWh is in fact more likely, so I truly apologize for confusion. However, I think that it would require at least 10 GPUs, not just 1, to be equivalent to 3-7 hair dryers in power consumption, since hair dryers consume roughly 1000-2000 W.
@profvjreddi commented on GitHub (Jan 2, 2026):
Hi @lttelezynski, thank you so much for taking the time to look into this and share your thoughts!
Please don't apologize, as we're all here to learn from one another 🤗 , and I genuinely appreciate the careful analysis you did here. The fact that you went back to check multiple sources and recalculated things yourself shows exactly the kind of critical thinking we hope to encourage in the "classroom." Our classroom here is everyone :)
You're right that 1,287 MWh is the correct figure. And your point about the power consumption comparison is a good observation. I'll take a look at that to make sure the context is clear for readers. Thanks again for engaging so thoughtfully with the material.
Contributions like yours help make this a better resource for everyone! 🙏
@profvjreddi commented on GitHub (Jan 2, 2026):
Fixed in commit
1e88b9ca8- removed the incorrect hair dryer comparison. You were right that the math didn't work out (GPUs at 300-700W are actually less than a single hair dryer at ~1500W, not 3-7x). Thanks for catching this!