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

**URL:** <https://forums.developer.nvidia.com/t/a100-gpu-on-gcp-nvidia-smi-has-failed-because-it-couldnt-communicate-with-the-nvidia-driver-found-no-nvidia-driver-on-your-system/231551>\
**Category:** CUDA Setup and Installation\
**Tags:** python, driver, linux, cuda\
**Created:** [October 21, 2022, 11:58am UTC](https://forums.developer.nvidia.com/t/a100-gpu-on-gcp-nvidia-smi-has-failed-because-it-couldnt-communicate-with-the-nvidia-driver-found-no-nvidia-driver-on-your-system/231551 "2022-10-21T11:58:53Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![glau-ml](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@glau-ml](https://forums.developer.nvidia.com/u/glau-ml)\
**Post date:** [October 21, 2022, 11:58am UTC](https://forums.developer.nvidia.com/t/a100-gpu-on-gcp-nvidia-smi-has-failed-because-it-couldnt-communicate-with-the-nvidia-driver-found-no-nvidia-driver-on-your-system/231551/1 "2022-10-21T11:58:53Z")

</div>

**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:

```auto
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/](https://www.nvidia.com/download/driverResults.aspx/191320/en-us/) :

```auto
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:

```auto
$ 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:

```auto
  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!