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They'll also need a CUDA compatible API to stand a chance, but they have time. I guess CUDA compatible would be fine, but for myself, I'd buy their cards for c
by mindcrime 3y ago
They'll also need a CUDA compatible API to stand a chance, but they have time.
I guess CUDA compatible would be fine, but for myself, I'd buy their cards for compute workloads as long as they have some reasonable API regardless of whether it's CUDA or not. If they have something usable based on OpenCL, SYCL, whatever, they would have a shot at getting my money. Ideally that would also include then providing some support to make sure there are usable backends for PyTorch, Tensorflow, etc.
Ah well. Let's see if they can figure this out. Between Intel and AMD, you'd think somebody could step forward and give NVIDIA some serious competition.
- ColonelPhantom 3y agoIntel already has a working GPGPU stack, using oneAPI/SYCL. They also have arguably pretty good OpenCL support, as well as downstream support for PyTorch and Tensorflow using their custom extensions https://github.com/intel/intel-extension-for-tensorflow https://github.com/intel/intel-extension-for-tensorflow and https://github.com/intel/intel-extension-for-pytorch https://github.com/intel/intel-extension-for-pytorch which are actively developed and just recently brought up-to-date with upstream releases.