Gcp

Overview about actual AI and ML Services on Google Cloud (September 2023) Service Description Vertex AI A unified platform for building, training, deploying, and managing machine learning models. Vertex AI Notebooks A managed service for running Jupyter notebooks, providing a single interface for your data, analytics, and machine learning workflow. Vertex Explainable AI Tools and frameworks to help you understand and interpret your machine learning models. AI Platform Prediction A managed service for deploying and managing machine learning models, making it easy to serve predictions to your applications and users....

Create a Kubernetes managed Cluster on Google GCP with one line of code !!Be Careful: running ths may incur costs on your project - make sure to delete the resources when finished!! prerequisits A project with Kubernetes API enabled GCP CLI installed An environment variable CLUSTER_NAME defined with the name of the cluster Compute/Region set in project configuration to your preferred Region default VPC in place. gcloud config set compute/zone <preferred-region> PROJECT_ID=$(gcloud config get-value project) CLUSTER_NAME=<cluster-name> The Code : gcloud beta container clusters create $CLUSTER_NAME \ --cluster-version=latest \ --machine-type=e2-standard-4 \ --enable-autoscaling \ --min-nodes=1 \ --max-nodes=3 \ --num-nodes=1 Get Credentials gcloud container sclusters get-credentials $CLUSTER_NAME Check pods...

Start scripts for kubernetes native nodes These statup scripts require a UBUNTU 20.04 LTS base image! If you want to use Ubuntun 22.04 LTS, exchange for the kubenretes part ‘xenial’ with ‘jummy’. Script for the master node on AWS #!/bin/bash # Load necessary kernel modules for containerd cat << EOF | sudo tee /etc/modules-load.d/containerd.conf overlay br_netfilter EOF sudo modprobe overlay sudo modprobe br_netfilter # Configure kernel networking requirements for Kubernetes cat << EOF | sudo tee /etc/sysctl....