I’ve read multiple times that CUDA dominates, mostly because NVIDIA dominates. Rocm is the AMD equivalent, but OpenCL also exists. From my understanding, these are technologies used to program graphics cards - always thought that shaders were used for that.
There is a huge gap in my knowledge and understanding about this, so I’d appreciate somebody laying this out for me. I could ask an LLM and be misguided, but I’d rather not 🤣
Can you share sample code I can try or documentation I can follow of using an AMD GPU in that way (shared, virtualized, using only open source drivers)?
Check Wolf (in my other comment), it’s the best example of GPU virtualization usage.
Otherwise you can check other docker images using GPU for computing, like jellyfin for instance, or nextcloud recognize, nextcloud memories and its transcoding instance,…