OpenShift Dev Spaces for AI / ML

This repo demos helps show the value of OpenShift and OpenShift Dev Spaces as a platform for developing and deploying AI / ML workloads in a hybrid cloud.

Installation

Prerequisites

• Red Hat OpenShift Cluster 4.10+
• Cluster admin permissions

The following cli tools are required:

• bash, git
• oc - Download mac, linux, windows
• kubectl (optional) - Included in oc bundle
• kustomize (optional) - Download mac, linux

NOTE: bash, git, and oc are available in the OpenShift Web Terminal

From a terminal

# start in a bash shell
# (this means you mac users; zsh)
bash

# oc login to your cluster
# oc login --token=<yours> --server=https://<yours>
oc whoami

# git clone demo
git clone https://github.com/redhat-na-ssa/demo-ai-devspaces.git
cd demo-ai-devspaces

# run setup script
./scripts/bootstrap.sh

# expected results
  # Running: oc apply -k gitops
  # again...
  # again...
  # [OK]

Uninstall

# WARNING: Be certain you want your cluster returned to a vanilla state
. ./scripts/bootstrap.sh

delete_demo

Quickstart

• Launch DevSpaces from the waffle menu on the OCP Web Console

Note

This may take 5+ mins post bootstrap setup

• Create & Open DevSpaces with the current repo

• Click the Events submenu to watch progress

Note

This may take 12+ mins

Additional Resources

OpenShift Dev Spaces

• OpenShift Dev Spaces - Overview
• OpenShift Dev Spaces - Getting Started
• OpenShift Dev Spaces - Video Overview (20m)
• OpenShift Dev Spaces - Official Docs
• Configure Dev Spaces with Auth

Data Science Examples

• Data Science Example - Fingerprint Prediction
• Data Science Example - Computer Vision
• Data Science Example - Keras GPT2 NLP

Other Examples

• OpenShift - LLM using custom data source