Cuda 12 + tf-nightly 2.12: Could not find cuda drivers on your machine, GPU will not be used, while every checking is fine and in torch it works

I think that, as of March 2023, the only tensorflow distribution for cuda 12 is the docker package from NVIDIA.

A tf package for cuda 12 should show the following info

>>> tf.sysconfig.get_build_info() 
OrderedDict([('cpu_compiler', '/usr/bin/x86_64-linux-gnu-gcc-11'), 
('cuda_compute_capabilities', ['compute_86']), 
('cuda_version', '12.0'), ('cudnn_version', '8'), 
('is_cuda_build', True), ('is_rocm_build', False), ('is_tensorrt_build', True)])

But if we run tf.sysconfig.get_build_info() on any tensorflow package installed via pip, it stills tells that cuda_version is 11.x

So your alternatives are:

• install docker with the nvidia cloud instructions and run one of the
  recent containers
• compile tensorflow from source, either nightly or last release. Caveat, it takes a lot of RAM and some time, as all good compilations do, and the occasional error to be corrected on the run. In my case, to define kFP8, the new 8-bits float.
• wait