GPU Namespace as a Service - Rafay Product Documentation

Use

In this step, we will use the end user facing "developer hub" self service portal to deploy an instance of the GPU namespace.

After a few minutes, the instance will be deployed.

Utilize

Next, we will use the newly deployed Namespace.

kubectl describe resourcequotas

You will see output similar to the following showing the available GPUs

Name:                    tim-3220962261-resource-quota
Namespace:               tim-3220962261
Resource                 Used  Hard
--------                 ----  ----
configmaps               1     5
limits.cpu               0     1
limits.memory            0     2Gi
limits.nvidia.com/gpu    0     1
persistentvolumeclaims   0     1073741824
pods                     0     25
replicationcontrollers   0     1
requests.cpu             0     500m
requests.memory          0     1Gi
requests.nvidia.com/gpu  0     1
requests.storage         0     50Gi
services                 0     5
services.loadbalancers   0     2
services.nodeports       0     2