On an AWS g4dn.2xlarge EC2 instance (Ubuntu 22.04.2, has NVIDIA Tesla T4, x86_64):
ubuntu@ip-123:~$ sudo apt install nvidia-cuda-toolkit cuda
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:
The following packages have unmet dependencies:
libcuinj64-11.5 : Depends: libnvidia-compute-495 (>= 495) but it is not going to be installed or
libnvidia-compute-495-server (>= 495) but it is not installable or
libcuda.so.1 (>= 495) or
libcuda-11.5-1
libnvidia-ml-dev : Depends: libnvidia-compute-495 (>= 495) but it is not going to be installed or
libnvidia-compute-495-server (>= 495) but it is not installable or
libnvidia-ml.so.1 (>= 495)
nvidia-cuda-dev : Depends: libnvidia-compute-495 (>= 495) but it is not going to be installed or
libnvidia-compute-495-server (>= 495) but it is not installable or
libcuda.so.1 (>= 495) or
libcuda-11.5-1
Recommends: libnvcuvid1 but it is not installable
E: Unable to correct problems, you have held broken packages.
Is it really impossible to resolve nvidia-cuda-toolkit and cuda packages together?
I need them to resolve together for a ML tool (needs nvidia-cuda-toolkit for nvcc, needs cuda for cuBLAS acceleration)