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I run Ryzen on Linux 5.5 on my desktop workstation at home. Admittedly I am always running the latest kernel as long as I reboot often enough, but it has been g

by jchw 7y ago

I run Ryzen on Linux 5.5 on my desktop workstation at home. Admittedly I am always running the latest kernel as long as I reboot often enough, but it has been good. I also use an AMD GPU, and that has been very nice. Intel probably still has an edge on supporting the Linux graphics stack but not by much, and AMD GPUs have a lot more muscle, so it’s not a bad trade off imo. Anything to avoid NVIDIA really. (To those who love NVIDIA on Linux: I get it. However, Linux needs to move on from X11 and the old, broken, fragmented graphics driver “model.” NVIDIA will always be a second class citizen on Wayland until they change their tune regarding open source. But hey, maybe they’re OK with losing Linux and Mac users, and if that’s their position I’m perfectly happy losing them.)

core-questions 7y ago
> NVIDIA will always be a second class citizen on Wayland More like Wayland will always be a second class citizen on machines with NVIDIA cards.
- jchw 7y ago
  They are the only such graphics vendor, but sure. Either way NVIDIA users lose.
  - mottosso 7y ago
    Or is it Wayland users that lose? On which side will the coin land? :)
    - jchw 7y ago
      The coin landed long enough that you can’t even see it under the dust. Xorg is effectively unmaintained aside from Xwayland. If you had hopes of Wayland disappearing, you can safely end them now.
      - core-questions 7y ago
        I don't have hopes of that, I'm just waiting for the dust to eventually settle so we can just use it and stop waiting for it. Do you know if Ubuntu 20.04 will be using it by default?
gowld 7y ago
Do AMD GPUs work well with ML drivers (CUDA and competitors)? Are higher-level drivers like PyTorch and TensorFlow compatible (and optimized, or else no point buying an expensive GPU to get only half-performance) with AMD backends?
- lostmsu 7y ago
  TensorFlow works with AMD's CUDA alternative named ROCm. You'd need to check installation instructions though.
  - jamesblonde 7y ago
    Yes, ROCm is upstreamed into Tensorflow. On our Hopsworks platform, you can run the same TensorFlow code on either ROCm or Cuda. No code changes needed: https://www.logicalclocks.com/blog/welcoming-amd-rocm-to-hopsworks https://www.logicalclocks.com/blog/welcoming-amd-rocm-to-hop... Performance ain't so bad on AMD GPUs anymore - and none of the EULA crap. Just buy a Vega R7 for 500 bucks and get 16 GB of memory and the performance of close to a 2080 Ti (for convnets, at least) - but with no data center restrictions: https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/issues/173 https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/...
  - yangikan 7y ago
    How about Pytorch?
    - jamesblonde 7y ago
      You have to compile it yourself, which sucks. For some reason PyTorch aren't agreeing to upstream ROCm, yet.
      - bgorman 7y ago
        You don't need to compile it, AMD provides docker images. For example I was able to run fast.ai/pytorch oh my amd gpu https://github.com/briangorman/fastai_rocm_docker https://github.com/briangorman/fastai_rocm_docker

by jchw 7y ago

core-questions 7y ago

> NVIDIA will always be a second class citizen on Wayland More like Wayland will always be a second class citizen on machines with NVIDIA cards.

jchw 7y ago
They are the only such graphics vendor, but sure. Either way NVIDIA users lose.
- mottosso 7y ago
  Or is it Wayland users that lose? On which side will the coin land? :)
  - jchw 7y ago
    The coin landed long enough that you can’t even see it under the dust. Xorg is effectively unmaintained aside from Xwayland. If you had hopes of Wayland disappearing, you can safely end them now.
    - core-questions 7y ago
      I don't have hopes of that, I'm just waiting for the dust to eventually settle so we can just use it and stop waiting for it. Do you know if Ubuntu 20.04 will be using it by default?

gowld 7y ago

Do AMD GPUs work well with ML drivers (CUDA and competitors)? Are higher-level drivers like PyTorch and TensorFlow compatible (and optimized, or else no point buying an expensive GPU to get only half-performance) with AMD backends?

lostmsu 7y ago
TensorFlow works with AMD's CUDA alternative named ROCm. You'd need to check installation instructions though.
- jamesblonde 7y ago
  Yes, ROCm is upstreamed into Tensorflow. On our Hopsworks platform, you can run the same TensorFlow code on either ROCm or Cuda. No code changes needed: https://www.logicalclocks.com/blog/welcoming-amd-rocm-to-hopsworks https://www.logicalclocks.com/blog/welcoming-amd-rocm-to-hop... Performance ain't so bad on AMD GPUs anymore - and none of the EULA crap. Just buy a Vega R7 for 500 bucks and get 16 GB of memory and the performance of close to a 2080 Ti (for convnets, at least) - but with no data center restrictions: https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/issues/173 https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/...
- yangikan 7y ago
  How about Pytorch?
  - jamesblonde 7y ago
    You have to compile it yourself, which sucks. For some reason PyTorch aren't agreeing to upstream ROCm, yet.
    - bgorman 7y ago
      You don't need to compile it, AMD provides docker images. For example I was able to run fast.ai/pytorch oh my amd gpu https://github.com/briangorman/fastai_rocm_docker https://github.com/briangorman/fastai_rocm_docker