How to handle which version install by default in CUDA-enabled recipe?

### Your question:

Hello, I recently worked on CUDA-enabled recipes (mainly https://github.com/conda-forge/librealsense-feedstock and https://github.com/conda-forge/onnxruntime-feedstock/pull/63) and I have two doubts that I was not able to find the answer to by looking at existing feedstocks and documentation.

The questions are:

* Q1: If a feedstock produces both CPU and CUDA enabled builds, which one should be installed by default? I guess possible answers are:
* A: CPU build should be installed by default
* B: CUDA build should be installed by default
* C: Each feedstock should decide on its own, as the trade-off are different for each feedstock

* Q2: Once it is decided which version is installed by default, how it should be marked which version is the one with the highest priority that should be installed by default?
* A: Increase the build number of the preferred version, as done by jaxlib (https://github.com/conda-forge/jaxlib-feedstock/blob/46a1829880e7012e9a05bf8904ddbbc9e5e51375/recipe/meta.yaml#L5)
* B: Use track_features, as done by libarrow (https://github.com/conda-forge/arrow-cpp-feedstock/blob/e5a31a003a2f11bdf72b3e9e2d90f95691aa5f6a/recipe/meta.yaml#L78) and tensorflow (https://github.com/conda-forge/tensorflow-feedstock/blob/2fdde9bd0977c9356ad192d684c8ca2751bf94ab/recipe/meta.yaml#L129)
* C: Use both an increase build number and track_features, as done by pytorch (https://github.com/conda-forge/pytorch-cpu-feedstock/blob/main/recipe/meta.yaml)

Thanks a lot in advance for any hint on this!

fyi @conda-forge/help-c-cpp @conda-forge/cuda-version @conda-forge/jaxlib @conda-forge/pytorch-cpu @conda-forge/arrow-cpp @conda-forge/tensorflow