[p1esk]

You can spend half of the specified costs on every single one of the listed components with zero impact on your ML work productivity. $330 for 64gb of ram, really?

[el_oni]

The RGB makes ML models train faster

[akiselev]

That is high end RAM binned at 3200Mhz. Consumer RAM is mostly 2133/2400 and with servers often using 2666. RAM at 3200 (PC4-25600) gives you about 25% more peak bandwidth than RAM at 2400 (PC4-19200) and about 16% more than 2666 (PC4-21333)

[junar]

Not true, 3200 CL16 can be nearly as cheap as slower RAM nowadays, with multiple brands at sub-$60 per 16GB stick[1]. OP is paying extra for RGB, as another commenter points out.

[1] https://pcpartpicker.com/products/memory/#sort=price&U=4&Z=1...

[p1esk]

That might be true, but you don't usually care about that for ML workloads running on GPU. Bottlenecks are typically elsewhere.

[formerly_proven]

3200 and 3600 are the default choice on desktops these days.

[fokinsean]

$120 for 3 fans lmao

[jeffheaton]

Well, it did include the RGB controller, if that makes you feel slightly better. :-)

[alfonsodev]

Could you point to a more ML cost efficient build? I’m having problems finding good info resources

[p1esk]

https://timdettmers.com/2018/12/16/deep-learning-hardware-gu...

[GaryNumanVevo]

Computers are multi-purpose machines