Building my own Deep Learning Box: Intel vs AMD

Hi Gilaniali,

I highly recommend using Linux systems stable version for any AI Projects in my opinion windows is slow eats up lot of memory by itself. I have a dual boot laptop with windows 10 (2004ver) with WSL2 and Ubuntu 20 both configured with AI setup. I use both windows and Linux but Linux makes your life easy for AI projects.

For Beginner (Basic) Level Setup. (Laptop)
Hardware:
a) 1 TB SAS for operating system
b) 2 TB SATA for DATA
c) Dedicated for AI Nvidia Graphics card of your budget choice / There are plug-able external Graphics cards as-well
d) Intel Graphics card for operating system (any)
Try to keep sync RAM and GPU memory (16gb ram / 16 gb gpu) preferably.

Software:
a) Ubuntu 18 if you are looking for stable version or Ubuntu 20 also good currently I am using It.
b) Install CUDA 10.1 with latest Nvidia drivers
c) Install Cudnn Library specific to cuda 10.1
d) Pytorch choose cuda 10.1
e) Fast ai ( I am in love with this library as no other library I have seen which utilities GPU fully . It always runs at 100% utilization which is amazing.) thanks to @jeremy for this wonderful library.

For Beginner (Advance):
Above setup as per budget you can upgrade high end configuration desktop.

You can look at NVIDIA DGX Station this will be good start.
or
Configure your own with Ubuntu 18 desktop with Nvidia V100 GPU

If you are looking for Ryzen chips then choose Ryzen Threadripper 1950X

Refer this link for pricing and further details
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Hope this helps.

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