4 ms·
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, rea
by p1esk 6y ago
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 6y agoThe RGB makes ML models train faster
- GaryNumanVevo 6y agoComputers are multi-purpose machines
- fokinsean 6y ago$120 for 3 fans lmao
- jeffheaton 6y agoWell, it did include the RGB controller, if that makes you feel slightly better. :-)
- alfonsodev 6y agoCould you point to a more ML cost efficient build? I’m having problems finding good info resources
- p1esk 6y agohttps://timdettmers.com/2018/12/16/deep-learning-hardware-guide/ https://timdettmers.com/2018/12/16/deep-learning-hardware-gu...
- akiselev 6y agoThat 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)
- p1esk 6y agoThat might be true, but you don't usually care about that for ML workloads running on GPU. Bottlenecks are typically elsewhere.
- junar 6y agoNot 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=16384001&S=3200,5000&L=30,160 https://pcpartpicker.com/products/memory/#sort=price&U=4&Z=1...
- formerly_proven 6y ago3200 and 3600 are the default choice on desktops these days.