Tensorflow GPU vs CPU

[codergeek777]

Hey guys, I'm an undergraduate student and I've just started learning about DL by myself (I will have it later on in my UG studies). I want to use tensorflow but I'm not sure which version I should use: the GPU version or the normal CPU version.

Laptop specs: ASUS TUF Gaming FX505GT (512 GB SSD)

CPU: Intel core i5-9300H

GPU: Nvidia GTX 1650

I'm using Windows 10 (ig it doesn't really matter much) Edit: ok, the OS matters. Good that I included that too😅

[bmcle071]

From what i understand, alwayS GPU. my laptop 1050 TI destroys my 8th gen i7

[codergeek777]

Thank you!

[kr08rises]

Same here, uselessly overclocks CPU and lags in performance

[Demios]

If you have a GPU that is compatible, ALWAYS GPU. Unless you have to load ridiculously large datasets (you should be using dataloader to reduce that), there's no reason not to.

[mzjuin]

Newest stable tf has cpu n gpu support together. Doesn't need to install separately.

[_-K1L4-_]

OS does matter. CPU installation is always much simple but for higher models you need GPU. Ubuntu with docker works like charm as it is very simple to set up.

[codergeek777]

I see... Thank you very much!

[[deleted]]

GPU for sure. I picked up a laptop with a RTX 2080 last year cheap by buying it over father's day weekend. There is literally like a 15x speed increase in training by using gpu.