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About the Book
OpenShift AI Platform Guide is a practical handbook for platform engineers who need to turn OpenShift into a real internal AI platform, not “just a Kubernetes cluster.”
Starting from the CNCF platform engineering whitepaper, the book shows how to apply those ideas on OpenShift: treating the platform as a product, reducing cognitive load for app teams, and building opinionated “golden paths” instead of one-off snowflakes.
From there, you’ll walk through end-to-end, production-grade scenarios:
- Installing OpenShift 4.20 in fully air-gapped environments with a local Quay registry
- Configuring cluster-wide proxies, NFS storage, and disconnected OperatorHub catalogs
- Deploying and managing key operators like Node Feature Discovery and the NVIDIA GPU Operator
- Enabling InfiniBand and RDMA networking with SR-IOV and the NVIDIA Network Operator
- Integrating observability with DCGM, Prometheus, and Grafana for GPU-aware monitoring
- Using GitOps (OpenShift GitOps / Argo CD + GitLab) for declarative, auditable platform config
- Running LLM performance benchmarks as code with Hugging Face’s Inference-Benchmarker and visualizing results with a Gradio dashboard
The guide is written in a “do this, then this” style, with YAML examples, command snippets, and explanations of why each piece matters for a modern AI platform.
If you are a platform engineer, SRE, or infrastructure-minded ML practitioner responsible for OpenShift-based GPU clusters—especially in regulated or disconnected environments—this book gives you a concrete, repeatable blueprint.
About the Author
Luca Berton is an Ansible Automation Expert who has been working with JPMorgan Chase & Co. and previously worked with the Red Hat Hat Ansible Engineer Team for three years. Published author of the Ansible for VMware by Examples and Ansible for Kubernetes by Examples best-seller of the Ansible By Example(s) practical book series and creator of the Ansible Pilot project. With more than 15 years of experience as a System Administrator, he has strong expertise in Infrastructure Hardening and Automation. Enthusiast of the Open Source supports the community, sharing his knowledge in different events of public access. Geek by nature, Linux by choice, Fedora, of course.