Describe the bug
Missing cuda library after succesful container build

To Reproduce
I built the containerfile with podman under fedora with success. I can enter the containerfile with an interactive terminal and issue nvidia-smi successfully. When I issue the ilab command, the following error is produced:
``
❯ podman run -it --rm --security-opt=label=disable --device=nvidia.com/gpu=all 3b098c5ec284 /bin/bash

==========
== CUDA ==

CUDA Version 12.4.1

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

[root@4245cf88a6e9 instructlab]# nvidia-smi
Thu Sep 5 19:41:52 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.03 Driver Version: 560.35.03 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 2070 ... On | 00000000:09:00.0 On | N/A |
| 0% 54C P0 52W / 260W | 1401MiB / 8192MiB | 1% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
+-----------------------------------------------------------------------------------------+
[root@4245cf88a6e9 instructlab]# ilab
Traceback (most recent call last):
File "/usr/local/bin/ilab", line 5, in
from instructlab.lab import ilab
File "/usr/local/lib/python3.11/site-packages/instructlab/lab.py", line 20, in
from .model import model as model_group
File "/usr/local/lib/python3.11/site-packages/instructlab/model/model.py", line 13, in
from .train import train
File "/usr/local/lib/python3.11/site-packages/instructlab/model/train.py", line 11, in
import torch
File "/usr/local/lib64/python3.11/site-packages/torch/init.py", line 290, in
from torch._C import * # noqa: F403
^^^^^^^^^^^^^^^^^^^^^^
ImportError: libcudnn.so.9: cannot open shared object file: No such file or directory
[root@4245cf88a6e9 instructlab]#

Expected behavior
ilab should run without error

Device Info (please complete the following information):
I built with the container file with id: 945fd51
https://github.com/instructlab/instructlab/commits/main/containers/cuda/Containerfile