I'm sure that eGPU enclosure manufacturers will eventually produce models fully compatible with GeForce RTX 30 series. In the meantime, FYI there are some relevant discussions regarding potential compatibility (with pin adapters) of some eGPU enclosures currently available on the market, e.g.: https://egpu.io/forums/thunderbolt-enclosures/razer-core-x-c....
Re:Which GPUs to get for deep learning
by numpad0 on Tuesday September 08, 2020 @03:45AM
(#24406103)
Just buy a good ITX PC. eGPU boxes often costs more than a PC, larger than one as well, while performing less than one due to TB3 link and overall clunkiness.
Re:Which GPUs to get for deep learning
by ChuckNorris89 on Tuesday September 08, 2020 @05:24AM
(#24406676)
Thunderbolt 4 is on it's way with Intel Tigerlake which doubles the bandwidth but that still leaves limitations such as being limited to x8 PCI lanes which means you're leaving performance on the table if you use high eng GPUs and being locked in to Intel ecosystem so no Ryzen CPUs for you :(
And also cost $$$ which makes it a luxury solution only suitable for the users who absolutely want a thin portable notebook for on the go and a powerful GPU at home for AI/Gaming.
https://www.gigabyte.com/Graphics-Card/GV-N208TIXEB-11GC#kf