Most CUDA or PyTorch apps can be run through ROCM. Your performance/experience may vary. ZLUDA is also being revived as an alternate route to CUDA compat, as the vast majority of development/intertia is with CUDA.
Vulkan has become a popular “community” GPU agnostic API, all but supplanting OpenCL, even though it’s not built for that at all. Hardware support is just so much better, I suppose.
There are some other efforts trying to take off, like MLIR-based frameworks (with Mojo being a popular example), Apache TVM (with MLC-LLM being a prominent user), XLA or whatever Google is calling it now, but honestly getting away from CUDA is really hard. It doesn’t help that Intel’s unification effort is kinda failing because they keep dropping the ball on the hardware side.
What types of compute can you run on an AMD GPU today?
Most CUDA or PyTorch apps can be run through ROCM. Your performance/experience may vary. ZLUDA is also being revived as an alternate route to CUDA compat, as the vast majority of development/intertia is with CUDA.
Vulkan has become a popular “community” GPU agnostic API, all but supplanting OpenCL, even though it’s not built for that at all. Hardware support is just so much better, I suppose.
There are some other efforts trying to take off, like MLIR-based frameworks (with Mojo being a popular example), Apache TVM (with MLC-LLM being a prominent user), XLA or whatever Google is calling it now, but honestly getting away from CUDA is really hard. It doesn’t help that Intel’s unification effort is kinda failing because they keep dropping the ball on the hardware side.