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HIP is a good start since it has CUDA compatibility and open source from the beginning. The issue is that developers still might not invest in it until AMD show
by chaostheory 3y ago
HIP is a good start since it has CUDA compatibility and open source from the beginning. The issue is that developers still might not invest in it until AMD shows that they’re willing to commit to it unlike their past projects. A lot of them have been burned on this front by AMD, but the open source designation should help a lot.
- smoldesu 3y agoIt's not even AMD's unwillingness to commit. They were among the first to implement Vulkan and OpenCL, and have a decent legacy of GPU hardware support. Their open-source kernel drivers on Linux are cream-of-the-crop, and their raster APIs are so good that they truly rival Nvidia. The biggest issue is frankly that other stakeholders are doing their own thing, and pretending it's okay. Long-term, I think this will be Nvidia's real coup-de-grace; letting local devices do inferencing, while selling their GPUs to larger deployments and training applications. Stuff like CoreML and ROCm are nice, but don't directly threaten CUDA. If their competitors want to be rid of CUDA, then they have to gang up on them and offer a better alternative. Until then, Nvidia will have a market. It's true what they say, nice guys really do finish last in this economy.