Configure & Use
Users can use Serverless Pods to deploy custom containers from prebuilt templates in isolated environments enabling them to efficiently run CPU and GPU-intensive tasks without managing physical infrastructure.
Create Pod¶
To create a new Pod, select the option for Pods

Configure Pod¶
Users need to provide a name for the pod and select the workspace they would like to deploy the pod into.

Resources¶
Users can specify CPU, Memory, Number of GPUs and model of GPU they would like use with their pod.

Users can select the GPU Model they would like to use from the dropdown.

Select Pod Image¶
Pods can come pre-installed with frameworks and libraries. This allows the data scientist to start using the Pod right away instead of wasting time trying to install and configure all the software on top and struggling with versioning etc.

Users can select from the list of available Pod Images displayed in the dropdown.

Cost Estimate¶
Users are provided with a real time cost estimate based on the selected configurations.

Info
Pods are metered by the hour with a minimum usage of 1 hour.
View Pods¶
Users can have multiple pods at any given time. By selecting the Pods menu on the left, they can view the list of all pods across all their workspaces.

Use/Access Pod¶
In order to access a pod, click on its name and you will be presented with a view like the example below. Users can access the Pods from their laptops using SSH.

Download SSH Credentials¶
Copy the first command and paste it on your terminal. This will automatically create a new file with details of the private key and update the file permissions for use with SSH.
SSH based Access¶
Copy the second command and paste it on your terminal to access the pod via SSH.
Delete Pod¶
To delete a pod, users should click on the ellipses on the far right of the selected pod and select delete.

Info
Once deletion has been initiated, it cannot be stopped or reversed. Users can create a new pod if required.