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IANAL, but: - NVIDIA themselves ship multiple CUDA to multi-core x86-64 compilers for different programming languages CUDA C/C++/Fortran - AMD has been shipin

IANAL, but: - NVIDIA themselves ship multiple CUDA to multi-core x86-64 compilers for different programming languages CUDA C/C++/Fortran - AMD has been shiping hip for a while, advertising it as production ready, without any lawsuits (AFAIK). hip is also being used in production. - LLVM and clang have had open-source CUDA (and PTX) support for years, and nvidia have not enforced any kind of patents there.

pjmlp 7y ago
That clang/LLVM support was contributed by NVidia.
- fluffything 6y ago
  I think it was contributed by Google.
  - rrss 6y ago
    The original version of the NVPTX backend was contributed by nvidia, but iiuc they abandoned it afterwards and I think all the work on it since then has been by Google.
adev_ 6y ago
> AMD has been shiping hip for a while, advertising it as production ready, without any lawsuits (AFAIK). hip is also being used in production. Hip is not Cuda and even remove most mention if cuda from its API. It just mimic cuda API to try to provide compatibility. And the result is that almost nobody use it today.
- skohan 6y ago
  How do people do GPGPU on AMD today? Because I thought AMD has a huge cloud GPU market share for things like ML
  - adev_ 6y ago
    > How do people do GPGPU on AMD today? Because I thought AMD has a huge cloud GPU market share for things like ML ROCm and HIP [^1] or OpenCL. OpenCL is the hated solution of GPGPU. It is low level, incomplete and definitively not with a mature ecosystem of tools like Cuda. But it is currently the only one existing if you want your program to run on something else than Nvidia GPU ( Meaning AMD, Intel, phone GPUs or FPGA accelerators). [^1] https://github.com/ROCmSoftwarePlatform/ https://github.com/ROCmSoftwarePlatform/
    - pjmlp 6y ago
      Android phone GPUs only do Renderscript, OpenCL is not officially supported on Android.
  - rrss 6y ago
    AMD has a tiny market share in the cloud GPU market. AWS, Google Cloud, and Azure all have compute instances with NVIDIA GPUs, and I don't think any with AMD GPUs (IIRC Azure maybe has windows instances with AMD GPUs for graphics). According to https://www.techquila.co.in/nvidia-cloud-ai-gpu-share/ https://www.techquila.co.in/nvidia-cloud-ai-gpu-share/, AMD is at ~1%.

pjmlp 7y ago

That clang/LLVM support was contributed by NVidia.

fluffything 6y ago
I think it was contributed by Google.
- rrss 6y ago
  The original version of the NVPTX backend was contributed by nvidia, but iiuc they abandoned it afterwards and I think all the work on it since then has been by Google.

adev_ 6y ago

> AMD has been shiping hip for a while, advertising it as production ready, without any lawsuits (AFAIK). hip is also being used in production. Hip is not Cuda and even remove most mention if cuda from its API. It just mimic cuda API to try to provide compatibility. And the result is that almost nobody use it today.

skohan 6y ago
How do people do GPGPU on AMD today? Because I thought AMD has a huge cloud GPU market share for things like ML
- adev_ 6y ago
  > How do people do GPGPU on AMD today? Because I thought AMD has a huge cloud GPU market share for things like ML ROCm and HIP [^1] or OpenCL. OpenCL is the hated solution of GPGPU. It is low level, incomplete and definitively not with a mature ecosystem of tools like Cuda. But it is currently the only one existing if you want your program to run on something else than Nvidia GPU ( Meaning AMD, Intel, phone GPUs or FPGA accelerators). [^1] https://github.com/ROCmSoftwarePlatform/ https://github.com/ROCmSoftwarePlatform/
  - pjmlp 6y ago
    Android phone GPUs only do Renderscript, OpenCL is not officially supported on Android.
- rrss 6y ago
  AMD has a tiny market share in the cloud GPU market. AWS, Google Cloud, and Azure all have compute instances with NVIDIA GPUs, and I don't think any with AMD GPUs (IIRC Azure maybe has windows instances with AMD GPUs for graphics). According to https://www.techquila.co.in/nvidia-cloud-ai-gpu-share/ https://www.techquila.co.in/nvidia-cloud-ai-gpu-share/, AMD is at ~1%.