Deploying NVIDIA AI Enterprise Containers

NVIDIA Docs Hub NVIDIA AI Enterprise OpenShift on Bare Metal Deployment Guide Deploying NVIDIA AI Enterprise Containers

Create a Image Pull secret with your NGC key

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            oc create secret docker-registry regcred --docker-server=nvcr.io/nvaie --docker-username=\$oauthtoken --docker-password=<YOUR_NGC_KEY> --docker-email=<your_email_id> -n default

Apply the custom yaml files accessing NVAIE Jupyter notebooks

In this example a TensorFlow container is leveraged to launch a Jupyter notebook. Create a new yaml file with contents below called tensorflow.yaml

Warning

Where <NVAIE-MAJOR-VERSION>:<NVAIE-CONTAINER-TAG> fill the version and tag. Example: 2-3:22.09-tf2-nvaie-2.3-py3

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            apiVersion: apps/v1
kind: Deployment
metadata:
name: tensorflow-jupyter-notebook
labels:
    app: tensorflow-jupyter-notebook
spec:
replicas: 1
selector:
    matchLabels:
    app: tensorflow-jupyter-notebook
template:
    metadata:
    labels:
        app: tensorflow-jupyter-notebook
    spec:
    containers:
    - name: tensorflow-container
        image: nvcr.io/nvaie/tensorflow-<NVAIE-MAJOR-VERSION>:<NVAIE-CONTAINER-TAG>
        ports:
        - containerPort: 8888
        command: ["jupyter-notebook"]
        args: ["--NotebookApp.token=''"]
        resources:
        requests:
            nvidia.com/gpu: 1
        limits:
            nvidia.com/gpu: 1
    imagePullSecrets:
    - name: regcred
---
kind: Service
apiVersion: v1
metadata:
name: tensorflow-jupyter-notebook
spec:
type: NodePort
selector:
    app: tensorflow-jupyter-notebook
ports:
- protocol: TCP
    nodePort: 30040
    port: 8888
    targetPort: 8888

Warning

Leverage routes in instead of Node Port for production deployments. Leverage the Red Hat Route Configuration document for route creation.

Run the command below to apply the yaml file.

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            oc apply -f tensorflow.yaml

Access the Jupyter notebook
Once the pod is started describe it with the following:
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```
            
            oc describe pod tensorflow-jupyter-notebook-6c87cb86f7-9hvpm
        
```
Note the FQDN or IP of the node it is running on and construct the URL for accessing the notebook.
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```
            
            http://<NODE_FQDN_OR_IP>:30040
        
```
Note

Additional information for launching Jupyter Notebooks with OpenShift can be found in the Using Jupyter Project Images blog. Additional examples can be found in the Jupyter-Stack OpenShift Exampels Gitlab page.

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