What to do about GPUs? (and the built distributions that support them)

[pitrou (Antoine Pitrou)]

@pradyunsg

With CUDAPython, the projects can move to using the Python/Cython API instead of the C API, and benefit from a better install story that also eliminates the need to bundle CUDA binaries in their wheels.

These projects may be backed by their own C or C++ code that talks to the CUDA C API (for example Tensorflow). One example is PyArrow: we don’t provide CUDA-enabled wheels, but it we did, they would go through the CUDA C API, not CUDAPython.