A100 GPU on GCP: "NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver.", "Found no NVIDIA driver on your system."

nvidia-smi Error: NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver
There seems to be an NVIDIA driver issue in the A100 40GB VM instances that I spin up in GCP Compute Engine with a boot disk storage container, since nvidia-smi returns:

NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.

Manually installed CUDA Driver
Therefore, I’ve manually installed a CUDA driver by searching on:
Search for driver .run from https://www.nvidia.com/download/driverResults.aspx/191320/en-us/ :

wget https://us.download.nvidia.com/tesla/515.65.01/NVIDIA-Linux-x86_64-515.65.01.run
sudo sh NVIDIA-Linux-x86_64-515.65.01.run

Then verified the CUDA driver is installed by:

$ nvidia-smi
Fri Oct 21 10:03:18 2022       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 515.65.01    Driver Version: 515.65.01    CUDA Version: 11.7     |
|-------------------------------+----------------------+----------------------+
| 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 A100-SXM...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   34C    P0    52W / 400W |      0MiB / 40960MiB |      2%      Default |
|                               |                      |             Disabled |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

NVIDIA Driver Error: Found no NVIDIA driver on your system
However, my Python script that loads models to CUDA still errored out with RuntimeError: Found no NVIDIA driver on your system.. Note that this script runs successfully on GCP P100, T4, V100 GPUs. Please see stack trace below:

  File "service.py", line 223, in download_models
    config['transformer']['model'][model_name] = model_name_function_mapping[model_name](model).eval().cuda()
  File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/core/mixins/device_dtype_mixin.py", line 128, in cuda
    return super().cuda(device=device)
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 688, in cuda
    return self._apply(lambda t: t.cuda(device))
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 578, in _apply
    module._apply(fn)
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 578, in _apply
    module._apply(fn)
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 578, in _apply
    module._apply(fn)
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 601, in _apply
    param_applied = fn(param)
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 688, in <lambda>
    return self._apply(lambda t: t.cuda(device))
  File "/opt/conda/lib/python3.8/site-packages/torch/cuda/__init__.py", line 215, in _lazy_init
    torch._C._cuda_init()
RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx

Can you please advise how to solve this NVIDIA driver issue? Thank you!