llama.cpp can be run with a speedup for AMD GPUs when compiled with `LLAMA_CLBLAST=1` and there is also a HIPified fork [1] being worked on by a community contr

llama.cpp can be run with a speedup for AMD GPUs when compiled with `LLAMA_CLBLAST=1` and there is also a HIPified fork [1] being worked on by a community contributor. The other week I was poking on how hard it would be to get an AMD card running w/ acceleration on Linux and was pleasantly surprised, it wasn't too bad: https://mostlyobvious.org/?link=/Reference%2FSoftware%2FGenerative%20AI%2FLLM%20on%20AMD%20GPU%20on%20Arch%20Linux https://mostlyobvious.org/?link=/Reference%2FSoftware%2FGene... That being said, it's important to note that ROCm is Linux only. Not only that, but ROCm's GPU support has actually been decreasing over the past few years. The current list: https://rocm.docs.amd.com/en/latest/release/gpu_os_support.html#gpu-support-table https://rocm.docs.amd.com/en/latest/release/gpu_os_support.h... Previously (2022): https://docs.amd.com/bundle/Hardware_and_Software_Reference_Guide/page/Hardware_and_Software_Support.html https://docs.amd.com/bundle/Hardware_and_Software_Reference_... The ELI5 is that a few years back, AMD split their graphics (RDNA) and compute (CDNA) architectures, which Nvidia does too, but notably (what Nvidia definitely doesn't do, and a key to their success IMO) AMD also decided they would simply not support any CUDA-parity compute features on Windows or their non "compute" cards. In practice, this means that community/open-source developers will never have, tinker, port, or develop on AMD hardware, while on Nvidia you can start with a GTX/RTX card on your laptop, and use the same code up to an H100 or DGX. llama.cpp is a super-high profile project, has almost 200 contributiors now, but AFAIK, no contributors from AMD. If AMD doesn't have the manpower, IMO they should simply be sending nsa free hardware to top open source project/library developers (and on the software side, their #1 priority should be making sure every single current GPU they sell is at least "enabled" if not "supported" in ROCm, on Linux and Windows). [1] https://github.com/SlyEcho/llama.cpp/tree/hipblas https://github.com/SlyEcho/llama.cpp/tree/hipblas