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does anyone know what is the story on the software side - CUDA is basically industry standard now. Tensorflow OpenCL support bug [1] has been open for FOUR yea

does anyone know what is the story on the software side - CUDA is basically industry standard now. Tensorflow OpenCL support bug [1] has been open for FOUR years now (with the discussion devolving into an Intel PlaidML flame war). AMD OpenCL is now ROCm ? At the end of the day, I cant run ANY accelerated workloads using Intel graphics or AMD ....because there's simply no software support anywhere. OTOH, if you have a nVidia stack... boom. you get accelerated python https://developer.nvidia.com/how-to-cuda-python https://developer.nvidia.com/how-to-cuda-python Are you running containerized workloads on kubernetes ? it has BAKED-IN support for nvidia-docker (https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/ https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus...) Is anything going to change ? [1] https://github.com/tensorflow/tensorflow/issues/22 https://github.com/tensorflow/tensorflow/issues/22

zamadatix 7y ago
Does AMD/Intel have any hardware worth switching for or is it just an ideological question?
ndesaulniers 7y ago
Is Tensorflow+OpenCL a feature that a lot of folks are demanding? shrugs
- sdenton4 7y ago
  Yes, in the sense that it creates actual competition, and will presumably mean that datacenter cards for ML will lose Nvidia's $5-10k markup.
  - deleted 7y ago
    [deleted]
  - imtringued 7y ago
    There is zero demand since there is rocm support for tensorflow.
elephantum 7y ago
> At the end of the day, I cant run ANY accelerated workloads using Intel graphics or AMD ....because there's simply no software support anywhere. You can, there’s an Intel framework: OpenVINO that is targeting Intel hardware, processors and HD video cards, you can convert TF graph to Vino and use their inference server, that mimics TF serving. There’s TF ROCm port by AMD as well.
slavik81 7y ago
I'm pessimistic. I doubt things will change unless all the major platform owners can come to an agreement on a common API for GPU compute. If NVIDIA were the only holdout, they might be forced to support it. As it stands, CUDA is the only API with a decent implementation available on the three major desktop OSes. It's ridiculous.
CydeWeys 7y ago
Huh, that's strange. I remember in the infancy of cryptocurrency mining (back before specialized ASIC hardware), OpenCL was far superior to CUDA, and AMD cards were doing 10X the hashrate for the price as OpenCL cards. What changed in the interim? Is SHA256^2 just a completely different workload than Tensorflow, or has Nvidia pulled ahead?
- fwip 7y ago
  It's a different workload. Afaik, AMD cards are still better hash-per-dollar for the coins that are gpu-mineable.

zamadatix 7y ago

Does AMD/Intel have any hardware worth switching for or is it just an ideological question?

ndesaulniers 7y ago

Is Tensorflow+OpenCL a feature that a lot of folks are demanding? shrugs

sdenton4 7y ago
Yes, in the sense that it creates actual competition, and will presumably mean that datacenter cards for ML will lose Nvidia's $5-10k markup.
- deleted 7y ago
  [deleted]
- imtringued 7y ago
  There is zero demand since there is rocm support for tensorflow.

elephantum 7y ago

> At the end of the day, I cant run ANY accelerated workloads using Intel graphics or AMD ....because there's simply no software support anywhere. You can, there’s an Intel framework: OpenVINO that is targeting Intel hardware, processors and HD video cards, you can convert TF graph to Vino and use their inference server, that mimics TF serving. There’s TF ROCm port by AMD as well.

slavik81 7y ago

I'm pessimistic. I doubt things will change unless all the major platform owners can come to an agreement on a common API for GPU compute. If NVIDIA were the only holdout, they might be forced to support it. As it stands, CUDA is the only API with a decent implementation available on the three major desktop OSes. It's ridiculous.

CydeWeys 7y ago

Huh, that's strange. I remember in the infancy of cryptocurrency mining (back before specialized ASIC hardware), OpenCL was far superior to CUDA, and AMD cards were doing 10X the hashrate for the price as OpenCL cards. What changed in the interim? Is SHA256^2 just a completely different workload than Tensorflow, or has Nvidia pulled ahead?

fwip 7y ago
It's a different workload. Afaik, AMD cards are still better hash-per-dollar for the coins that are gpu-mineable.