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I was trying to install this in Colab for example to give it a try and see if it works as expected, and I ran into an installation ERROR

ERROR: pip's dependency resolver does not currently take into account all the 
packages that are installed. This behaviour is the source of the following dependency conflicts.
torch 2.10.0+cu128 requires cuda-bindings==12.9.4; platform_system == "Linux", but you 
have cuda-bindings 13.2.0 which is incompatible.
cuda-python 12.9.4 requires cuda-bindings~=12.9.4, but you have cuda-bindings 13.2.0 which is incompatible.
numba-cuda 0.22.2 requires cuda-core<1.0.0,>=0.3.2, but you have cuda-core 1.0.1 which is incompatible.
dask-cuda 26.2.0 requires cuda-core==0.3.*, but you have cuda-core 1.0.1 which is incompatible.

It seems to be updating cuda bindings to the latest, which is to aggressive for most CSP.

I understand that the numba cuda version in colab is super old. So we can report that back and see if we can get them to upgrade.

All that being said, we can run the script. At the moment we are running the script to check the environment, but it seems like with this changes installing the rapids-cli is modifying that environment.

I'd like to know what @jacobtomlinson, @jayavenkatesh19 and @mmccarty think here.