AI quickstart
Official@rh-ai-quickstart
Deploy AI demos of real business use cases today - built on Red Hat AI
Agent Skills by AI quickstart
Showing 4 vetted skills indexed across 2 GitHub repositories.
rh-ai-quickstartprovision-rosa-aws
Provisions a ROSA HCP cluster on AWS using containerized Terraform automation.
rh-ai-quickstartteardown-rosa-aws
Tear down a ROSA HCP cluster on AWS and remove leftover infrastructure.
rh-ai-quickstartdeploy-existing-openshift
Deploy the private AI serving stack on an existing OpenShift cluster using Helm.
rh-ai-quickstartProject Status Check
Run lint, type checks, tests, and dependency audits to produce a health dashboard.
Frequently Asked Questions About AI quickstart
FAQPage SchemaWhat specific infrastructure tasks can be performed with these capabilities?▼
These capabilities enable the end-to-end lifecycle management of Red Hat OpenShift Service on AWS. You can provision managed clusters, deploy private serving stacks via Helm charts, and execute full teardown procedures to ensure clean environment removal.
Which technical personas are these capabilities designed for?▼
These capabilities are designed for Cloud Architects, Site Reliability Engineers, and DevOps practitioners responsible for managing OpenShift environments on AWS. They provide standardized methods for cluster deployment and project health monitoring within enterprise environments.
What are the prerequisites for deploying these environments?▼
Deployment requires an active AWS account with appropriate IAM permissions for cluster creation and an existing OpenShift environment for Helm-based deployments. Users must also have the necessary credentials configured to interface with AWS and OpenShift cluster endpoints.