I have updated the github repository with a new version which uses ShellQuote::Any to do (some of) the quoting. I have also added a test which tries to run some perl-scripts with space in their name. That's in t/002-spaces-spaces-spaces.t.
I have also added another repository: https://github.com/hadjiprocopis/perl-nvidia2-ml which takes over nvidia::ml, fixes its compilation errors and adds 1 more binding. If you install this first, it will be easier to enquire the GPU in current module. It requires nvidia-ml binary library which must be in the toolkit you downloaded. If you can't install that then it's not a problem but 1 test will fail (t/001-enquire-nvidia-gpu.t).
I suggest you run perl Makefile.PL and if successful, then inspect config/Inline-CUDA.conf to see if cc, cxx, nvcc, ld are all set to valid names (unquoted).
Following that, run just a few tests: t/000-require-modules.t, t/002-spaces-spaces-spaces.t, t/008-config.t, t/011-basic.t . The last two are compiling CUDA code. If all goes well, then it's likely that all tests will succeed. 031-matrix-multiplication-pass-parameters.t does a matrix multiplication with data passed from the Perl script and results returned back. That's a good base for any CUDA code you may want to write.
The prompting during installation is only for windows, the user must somehow indicate where a c-compiler is if not in path already.
BTW, you will be using a newer version of nvcc than mine. So a lot can go wrong there too.