The thing is, because this is an nvidia product, there are people being paid to work on it. What’s going to get made will be what gives nvidia gpus the most fea

The thing is, because this is an nvidia product, there are people being paid to work on it. What’s going to get made will be what gives nvidia gpus the most features, or rather, the biggest edge. We aren’t quite yet at the stage of this technology that there is something like an OpenGL equivalent for NeRFs that can be expected to work across many architectures. It just means that nvidia will probably get some early-mover commitment advantage before the rest of the ML community catches up by implementing a cross-platform library. Though that said there is interesting work by Microsoft being done using DirectX 12 to make any dx12 gpu able to accelerate tensorflow. So it might not be inconceivable somebody implements something like this in tensorflow so that it is cross-platform.