Create a cluster

Skip this step if you already have a cluster
Spinning up a cluster in easy, whether you want to try ML Studio locally or use it in the cloud.
Cloud
Create a GKE k8s cluster
You need to have Google Cloud SDK for this step, follow the instructions to install it here.
export cluster_name=mlstudio-cluster
export cluster_zone=us-central1-a
​
gcloud container clusters create $cluster_name \
    --machine-type=n1-standard-4 \
    --num-nodes 1 \
    --enable-autoscaling --min-nodes 0 --max-nodes 6 \
    --zone $cluster_zone
    
# Chnage kubectl current context
gcloud container clusters get-credentials $cluster_name --zone $cluster_zone
For cost savings you can use --preemptible nodes. 
They offer the same machine types and options as regular compute instances and last for up to 24 hours.
export cluster_name=mlstudio-cluster
export cluster_zone=us-central1-a
​
gcloud container clusters create $cluster_name \
    --machine-type=n1-standard-4 \
    --preemptible \
    --num-nodes 1 \
    --enable-autoscaling --min-nodes 0 --max-nodes 6 \
    --zone $cluster_zone
    
# Chnage kubectl current context
gcloud container clusters get-credentials $cluster_name --zone $cluster_zone
Create a GPU accelerated cluster
You can instead create a GPU accelerated cluster by appending --accelerator type=nvidia-tesla-t4,count=1 to the previous command. And then creating a DaemonSet to instal Nvidia drivers.
kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml
So the final commands to create a GPU accelerated cluster would look like:
export cluster_name=mlstudio-cluster
export cluster_zone=us-central1-a
​
gcloud container clusters create $cluster_name \
     --machine-type=n1-standard-4 \
     --accelerator type=nvidia-tesla-t4,count=1 \
     --num-nodes 1 \
     --enable-autoscaling --min-nodes 0 --max-nodes 6 \
     --zone $cluster_zone
​
# Install NVIDIA GPU device drivers
kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml
​
# Chnage kubectl current context
gcloud container clusters get-credentials $cluster_name --zone $cluster_zone
Local
Create a Minikube k8s cluster
minikube start --cpus 5 --memory 10096
Docker Desktop
Download Docker Desktop application and follow the instructions on enabling Kuberentes.
You need a minimum of:
5 CPUs
8 Gb of RAM
15 Gb of fee desk space
Prerequisites
Next - Install
HELM
Last updated 6 months ago