Minimum computer specs for training our models

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A couple of people have built PCs for machine learning, for similar software tools as us. They are reporting running about 20-30x faster than my laptop, which I think would equal very roughly 1.5 days to train our models that take about 1 day on the condor servers. These are their specs:

SELF-BUILT
$883
https://www.oreilly.com/learning/build-a-super-fast-deep-learning-machine-for-under-1000
GeForce GTX 1060 3GB (should have gotten 6 GB)
1TB SATA drive
Intel I5-6600
two x 8GB
ASUS Mini ITX DDR4 LGA 1151 B150I PRO GAMING/WIFI/AURA motherboard

SELF-BUILT
$1700
https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415
GTX 1080 Ti
Intel i5 7500 (maybe should have gotten a CPU with 40 PCIE lanes)
2 sticks of 16 GB
2 TB Seagate HDD
480 GB MyDigital SSD
MSI — X99A SLI PLUS motherboard



Dell has a PC with similar specs for about the same price, this is probably what I would recommend at this point:

Dell
$999.99 DELL
https://www.dell.com/en-us/shop/dell-desktop-computers/alienware-aurora/spd/alienware-aurora-r7-desktop/dpcwxtc02h
Intel® Core™ i5 8400
16GB
NVIDIA® GeForce® GTX 1060 with 6GB GDDR5 (GTX 1080 +$200)
1TB HDD
https://helloworldproject.blogspot.com/2016/11/installing-ubuntu-1610-on-alienware.html
WINDOWS


HP has suitable PCs, but they are more expensive for a less-powerfull machine than the dell.

$1,139.99 HP
https://store.hp.com/us/en/ConfigureView?catalogId=10051&langId=-1&storeId=10151&urlLangId=&catEntryId=3074457345618585321&quantity=1
8 GB memory (16G +$120)
1 TB HDD storage
NVIDIA® GeForce® GTX 1060 3G (NVIDIA® GeForce® GTX 1080 8G +$420)
WINDOWS

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