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It's the last thing that keeps me on Nvidia with proprietary Linux drivers. I wouldn't mind ML training on a AMD card to be slower but I need my workload to be

It's the last thing that keeps me on Nvidia with proprietary Linux drivers. I wouldn't mind ML training on a AMD card to be slower but I need my workload to be at least GPU-accelerated.

carlmr 6y ago
I mean I wouldn't worry too much about it, I think if something big like PyTorch supports it AMD might rethink their strategy here. They have a lot to gain by entering the compute market.
- meragrin_ 6y ago
  AMD only cares about data center. Anything below that, they don't care. They don't care about supporting anything other than linux. God forbid some person try to experiment with their hardware/software as a hobby before putting it to use in a work setting.
  - carlmr 6y ago
    Eh, not sure if that's correct. Their Ryzen consumer CPUs work amazingly well on Windows. The gaming graphics cards also still target Windows. And if they do care about the data center that much and ROCm becomes a thing for compute, they will want as many people as possible to be able to experiment with ROCm at home. So that they demand data centers with ROCm.
    - sorenjan 6y ago
      ROCm has been a thing for four years now, Cuda had been around almost a decade before ROCm was conceived, and AMD still doesn't show any interest in an accessible compute platform for all developers and users. I think they should focus on OpenCL and Sycl.
      - carlmr 6y ago
        Well it's a chicken and egg problem. Without major library support nobody cares about ROCm, if nobody cares about ROCm AMD management will focus on other things. But PyTorch just laid that egg.
        meragrin_ 6y ago
        As far as ROCm support on consumer products, it is strictly a management problem which will takes years for them to figure out since they do not listen to their engineers and do not view users of consumer graphics cards as compute customers. I would love an alternative to Nvidia cards. After waiting for so long for ROCm support for RDNA cards and reading an engineer's comments about why there is no support yet, I've given up on AMD for compute support on their graphics cards. I'm hoping Intel's graphic cards aren't garbage and get quick support. I probably will buy an Nvidia card before then if I have the opportunity since I'm tired of waiting for an alternative.
    - meragrin_ 6y ago
      > And if they do care about the data center that much and ROCm becomes a thing for compute, they will want as many people as possible to be able to experiment with ROCm at home. So that they demand data centers with ROCm. The engineers know this and have tried to explain this to upper management, but upper management only listens to "customer interviews" which consists of management from data centers. Upper management does not care about what engineers hear from customers because those are not the customers they care about.

It's the last thing that keeps me on Nvidia with proprietary Linux drivers. I wouldn't mind ML training on a AMD card to be slower but I need my workload to be at least GPU-accelerated.

carlmr 6y ago

I mean I wouldn't worry too much about it, I think if something big like PyTorch supports it AMD might rethink their strategy here. They have a lot to gain by entering the compute market.

meragrin_ 6y ago
AMD only cares about data center. Anything below that, they don't care. They don't care about supporting anything other than linux. God forbid some person try to experiment with their hardware/software as a hobby before putting it to use in a work setting.
- carlmr 6y ago
  Eh, not sure if that's correct. Their Ryzen consumer CPUs work amazingly well on Windows. The gaming graphics cards also still target Windows. And if they do care about the data center that much and ROCm becomes a thing for compute, they will want as many people as possible to be able to experiment with ROCm at home. So that they demand data centers with ROCm.
  - sorenjan 6y ago
    ROCm has been a thing for four years now, Cuda had been around almost a decade before ROCm was conceived, and AMD still doesn't show any interest in an accessible compute platform for all developers and users. I think they should focus on OpenCL and Sycl.
    - carlmr 6y ago
      Well it's a chicken and egg problem. Without major library support nobody cares about ROCm, if nobody cares about ROCm AMD management will focus on other things. But PyTorch just laid that egg.
      - meragrin_ 6y ago
        As far as ROCm support on consumer products, it is strictly a management problem which will takes years for them to figure out since they do not listen to their engineers and do not view users of consumer graphics cards as compute customers. I would love an alternative to Nvidia cards. After waiting for so long for ROCm support for RDNA cards and reading an engineer's comments about why there is no support yet, I've given up on AMD for compute support on their graphics cards. I'm hoping Intel's graphic cards aren't garbage and get quick support. I probably will buy an Nvidia card before then if I have the opportunity since I'm tired of waiting for an alternative.
  - meragrin_ 6y ago
    > And if they do care about the data center that much and ROCm becomes a thing for compute, they will want as many people as possible to be able to experiment with ROCm at home. So that they demand data centers with ROCm. The engineers know this and have tried to explain this to upper management, but upper management only listens to "customer interviews" which consists of management from data centers. Upper management does not care about what engineers hear from customers because those are not the customers they care about.