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Counterpoint: https://forums.developer.nvidia.com/t/545-drivers-have-bad-flickering-and-black-screen-issues-when-vrr-is-enabled/269801 https://forums.developer

by iotku 3y ago

Counterpoint: https://forums.developer.nvidia.com/t/545-drivers-have-bad-flickering-and-black-screen-issues-when-vrr-is-enabled/269801 https://forums.developer.nvidia.com/t/545-drivers-have-bad-f... https://forums.developer.nvidia.com/t/wayland-native-wayland-apps-vulkan-apps-have-graphical-glitches-similar-to-xwayland-glamor/260288 https://forums.developer.nvidia.com/t/wayland-native-wayland... https://gitlab.freedesktop.org/xorg/xserver/-/issues/1317 https://gitlab.freedesktop.org/xorg/xserver/-/issues/1317 and literally me being a Linux Nvidia 1080ti user for years and having plenty of issues https://i.imgur.com/lwHDZoq.png https://i.imgur.com/lwHDZoq.png

ekianjo 3y ago
I thought we were talking about CUDA here?
- nsagent 3y ago
  As someone who has had a home ML server since 2016 with two TitanX GPUs, and has worked on and maintained numerous servers since then I can definitely echo that maintaining Nvidia drivers, along with CUDA, CUDNN, etc has always been a hassle. It's certainly gotten better over time, but it's still quite fragile. Automatic kernel update? https://forums.developer.nvidia.com/t/nvidia-smi-not-working-after-ubuntu-kernel-update/249105 https://forums.developer.nvidia.com/t/nvidia-smi-not-working... What about upgrading to a new version of CUDA? https://stackoverflow.com/questions/43022843/nvidia-nvml-driver-library-version-mismatch https://stackoverflow.com/questions/43022843/nvidia-nvml-dri... What about trying something like enabling forward compatibility for CUDA using an older driver? https://discuss.pytorch.org/t/torch-is-unable-to-detect-cuda-for-driver-470-182-03/193649 https://discuss.pytorch.org/t/torch-is-unable-to-detect-cuda... (This issue was actually just posted within the last day, so clearly people still have problems.) If you haven't run into any issues, then I'd say you're very lucky. Just don't pretend lots of others haven't run into issues.

by iotku 3y ago

ekianjo 3y ago

I thought we were talking about CUDA here?

nsagent 3y ago
As someone who has had a home ML server since 2016 with two TitanX GPUs, and has worked on and maintained numerous servers since then I can definitely echo that maintaining Nvidia drivers, along with CUDA, CUDNN, etc has always been a hassle. It's certainly gotten better over time, but it's still quite fragile. Automatic kernel update? https://forums.developer.nvidia.com/t/nvidia-smi-not-working-after-ubuntu-kernel-update/249105 https://forums.developer.nvidia.com/t/nvidia-smi-not-working... What about upgrading to a new version of CUDA? https://stackoverflow.com/questions/43022843/nvidia-nvml-driver-library-version-mismatch https://stackoverflow.com/questions/43022843/nvidia-nvml-dri... What about trying something like enabling forward compatibility for CUDA using an older driver? https://discuss.pytorch.org/t/torch-is-unable-to-detect-cuda-for-driver-470-182-03/193649 https://discuss.pytorch.org/t/torch-is-unable-to-detect-cuda... (This issue was actually just posted within the last day, so clearly people still have problems.) If you haven't run into any issues, then I'd say you're very lucky. Just don't pretend lots of others haven't run into issues.