This seems to be at the wrong level of abstraction.
I want a virtual Vulkan, one per CPU VM. I think I read somebody was working on that, or something like. That way it works on any GPU, not just NVidia or NVidia/Intel.
I want a virtual Vulkan, one per CPU VM. I think I read somebody was working on that, or something like. That way it works on any GPU, not just NVidia or NVidia/Intel.
How do you allocate vGPU memory between a ML/AI VM, a VDI VM, and a gaming/CAD VM? All have dramatically different requirements. You also can't think of shader/GPU cores in any way similar to CPU cores. They're essentially just vector/linear algebra accelerators with little to no branch prediction, speculative execution, or anything else you'd expect.
Otherwise, you can sort of follow along here: https://openmdev.io/index.php/GPU_Support
There's an effort, but it's far from where you want, and there's no indication it will get there unless you can get all the vendors to agree on a standard at some point in the future.
https://openmdev.io/index.php/Mediated_Device_Internals
We're doing most of our work (almost all) as open source and we're trying to make sure we have good documentation too. :)
Our company website is over here if you're interested to take a look: