4 ms·
> I experienced those crashes few times out of the blue It largely depends on your graphics driver. Wayland support is almost absent for NVidia but it works ve
by nbaksalyar 9y ago
> I experienced those crashes few times out of the blue
It largely depends on your graphics driver. Wayland support is almost absent for NVidia but it works very well on Intel and AMD GPUs.
- an_d_rew 9y ago... which happens to be the exact opposite of what you want if you’re into deep learning. Sigh.
- fpoling 9y agoCan one productively use a video card in a laptop or even in a high-end desktop for machine learning? At work we use a special workstation-type box with 4 NVidea cards. It is not connected to any display and we do not run any remote graphical sections on it that could have used graphical cards. Still it is slow at learning. If not the size of datasets (video in lossless compression), we would use cloud solutions.
- m45t3r 9y agoYeah, you can actually do it. Just run desktop in your integrated Intel GPU and CUDA in NVIDIA discrete GPU.
- fpoling 9y agoThis is with Intel-only laptop (Dell XPS-13).
- m45t3r 9y agoYou may have hit some Skylake GPU bugs, mostly of those are fixed in kernels 4.12+.