mskeith / iotedge-vm-deploy

ARM template to deploy a VM with IoT Edge pre-installed (via cloud-init)

iotedge-vm-deploy

Detailed documentation is available on Microsoft Docs

ARM Template to deploy a GPU enabled VM with IoT Edge Installed

ARM template to deploy a GPU enabled VM with IoT Edge pre-installed (via cloud-init)

The ARM template visualized for exploration

The VM will deploy and then run through the Cloud-Init script. The installation of the required services can take up to 15 minutes. To check the installation of the required services you can monitor the /var/log/cloud-init-output.log file. When all services are installed the size of the /var/log/cloud-init-output.log file should be ~ 4,097,285b.

Configure IoT Edge

As part of the deployment of the VM in Azure we set up an enviroment variable called dcs. Once the cloud-init script has finished run the following commands:

sudo sed -i "s#\(device_connection_string: \).*#\1\"$dcs\"#g" /etc/iotedge/config.yaml
sudo systemctl restart iotedge

Azure CLI command to deploy IoT Edge enabled VM

az deployment group create \
  --name edgeVm \
  --resource-group replace-with-rg-name \
  --template-uri "https://raw.githubusercontent.com/MSKeith/iotedge-vm-deploy/master/edgeDeploy.json" \
  --parameters dnsLabelPrefix='my-edge-vm1' \
  --parameters adminUsername='azureuser' \
  --parameters deviceConnectionString=$(az iot hub device-identity show-connection-string --device-id replace-with-device-name --hub-name replace-with-hub-name -o tsv) \
  --parameters authenticationType='sshPublicKey' \
  --parameters adminPasswordOrKey="$(< ~/.ssh/id_rsa.pub)"

Testing the IoT Edge installation

nvidia-smi

The output should look like this:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.06    Driver Version: 450.51.06    CUDA Version: 11.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla V100-PCIE...  Off  | 00000001:00:00.0 Off |                  Off |
| N/A   30C    P0    38W / 250W |      0MiB / 16160MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

sudo docker run --runtime=nvidia --rm nvidia/cuda:11.0-base nvidia-smi

The output should look like this (this will pull the docker image down and run nvidia-smi in the container):

Unable to find image 'nvidia/cuda:11.0-base' locally
11.0-base: Pulling from nvidia/cuda
54ee1f796a1e: Pull complete 
f7bfea53ad12: Pull complete 
46d371e02073: Pull complete 
b66c17bbf772: Pull complete 
3642f1a6dfb3: Pull complete 
e5ce55b8b4b9: Pull complete 
155bc0332b0a: Pull complete 
Digest: sha256:774ca3d612de15213102c2dbbba55df44dc5cf9870ca2be6c6e9c627fa63d67a
Status: Downloaded newer image for nvidia/cuda:11.0-base
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.06    Driver Version: 450.51.06    CUDA Version: 11.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla V100-PCIE...  Off  | 00000001:00:00.0 Off |                  Off |
| N/A   31C    P0    37W / 250W |      0MiB / 16160MiB |      4%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Troubleshooting

To investigate what occurred during deployment the cloud-init logs can be found in the /var/log directory. The files to view for this installation are:

cloud-init-output.log

cloud-init.log

cuda-installer.log

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.