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Side point on the AWS cost for the project. Total spend was $3.648 over 11 months. For that amount you can tailor a pretty powerful workstation these days, sav
by PeterStuer 7y ago
Side point on the AWS cost for the project.
Total spend was $3.648 over 11 months. For that amount you can tailor a pretty powerful workstation these days, saving you quite a bit of AWS headaches and overheads (and yes, potentially trading those for others, I know).
Still, this seems like a decent candidate for omitting the cloud as at first sight I do not detect any asks that scream out cloud to me.
Thoughts?
- Eridrus 7y agoFor a hobbyist, you definitely don't want to use the cloud, buy yourself a good GPU (I got a great deal 2nd hand in eBay) and you'll save a lot of cash. What you need the cloud for is parallelism. If you want to do any sort of hyperparameter tuning doing it on a single computer is going to leave you waiting for days.
- ad404b8a372f2b9 7y agoI can't speak to the author's workflow but I also do ML research and I often need heavy bursts of computation with long stretches of nothing in between. So I might spend a few hundred bucks in a couple of days by using multiple very powerful instances at the same time. Even if the cost ends up being the same as a workstation over a year, when it matters the cloud gives me results faster than a workstation would and this enables fast iteration over ideas.
- PeterStuer 7y agoBursting is definitely a point. It wasn't clear to me from the data at first glance whether this was used here.
- bluetwo 7y agoI did appreciate them detailing these costs.