Red Hat OpenShift AI BootCamp

Acronyms:

• RHOCP = Red Hat OpenShift Container Platform
• RHOAI = Red Hat OpenShift AI
• ODH = Open Data Hub
• CR = Custom Resource

About RHOAI

Red Hat OpenShift AI is a platform for data scientists and developers of artificial intelligence and machine learning applications.

OpenShift AI provides an environment to develop, train, serve, test, and monitor AI/ML models and applications on-premise or in the cloud. More Info

• Learn more about features and dependencies (link)

Cluster Setup Steps

0. Prerequisite
1. Add administrative user
2. Enable GPU support for RHOAI
3. (Optional) Run sample GPU application
4. Configure GPU dashboards
5. Configure GPU sharing method
6. Install RHOAI Kserve dependencies
7. Install RHOAI Operator and Components
8. Configure RHOAI / Data Science Pipelines
9. Configure distributed workloads

Automation Key

To run all steps, from this repo's root directory, run below command

./scripts/setup.sh -s 0
./scripts/setup.sh -s 9

The following will setup RHOAI with GPUs on an OpenShift cluster on AWS

until oc apply -k https://github.com/redhat-na-ssa/demo-ai-gitops-catalog/demos/rhoai-workshop-ready ; do : ; done

For more comprehensive gitops functionality, check out below repository: demo-ai-gitops-catalog

Demo Instructions

1. Distributed Workloads

2. Fraud Detection