If you are at Red Hat Summit 2026 in Atlanta, come grab a free copy of my latest book — Practical RHEL AI.
The Giveaway
When: Today at 16:45 Where: Lawn Lounge, Red Hat Summit 2026, Atlanta What: Free signed copies of Practical RHEL AI
First come, first served. I will be there to sign copies, answer questions about RHEL AI, InstructLab fine-tuning, and enterprise AI deployment on Red Hat.
About the Book
Practical RHEL AI covers everything you need to deploy and scale AI on Red Hat Enterprise Linux:
- InstructLab — fine-tune Granite models with your own enterprise data
- GPU acceleration — hardware selection, multi-GPU training strategies, vLLM inference optimization
- Production deployment — SELinux hardening, container isolation, monitoring and observability
- RAG implementation — retrieval-augmented generation patterns for enterprise knowledge bases
- Scaling — from single-node development to multi-node production inference
Whether you are a platform engineer setting up AI infrastructure or a developer building your first enterprise AI application, this book gives you the hands-on recipes to go from zero to production on RHEL AI.
Why Atlanta, Why Now
Red Hat Summit is where the enterprise Linux and open source community comes together. With RHEL AI maturing rapidly — InstructLab, Granite models, and the complete AI platform stack — there is no better place to talk about practical enterprise AI deployment.
If you have been following my RHEL AI tutorial series or the deployment guide, this book takes those concepts further with production-ready patterns and real-world case studies.
See You There
Find me at the Lawn Lounge at 16:45. Bring questions about AI on Kubernetes, InstructLab, Granite models, or anything cloud native — I am happy to chat.
Can’t make it to Atlanta? The book is also available through my books page. And check out the Red Hat Summit 2026 overview for what else is happening at the event.
Book Giveaway Gallery
The response was overwhelming. Here are some highlights from the giveaway across the show floor.
At the main Red Hat booth — the first copy off the stack.
The Experience Zone was buzzing with energy. Great conversations about enterprise AI deployment.
David from Red Hat at the llm-d community booth. The background screens show KV cache distribution, prefill/decode disaggregation, and telemetry — exactly the production inference patterns covered in the book.
Meeting the Red Hat Open Source and AI Program Office team. Their work on open source AI governance is what makes RHEL AI possible.
The CentOS community booth — where it all starts upstream. The code-driven expertise behind the curtain.
The Red Hat AI team. It is always special to hand the book to the people building the platform it covers.
JJ Asghar from IBM — his shirt says it all: “AI needs Open Source.” Absolutely.
The Dell Services team grabbed four copies at the “Accelerate Innovation with Dell Services” booth. They are operationalizing Dell Private Cloud for virtualized workloads — a perfect fit for RHEL AI deployment at scale.
The Lawn Lounge giveaway spot — great conversations on the grass about building AI infrastructure.
Another Red Hat AI team member with the book. The Dell Technologies and Intel booths visible in the background — the full AI infrastructure ecosystem in one frame.
The Verdict
From the Red Hat AI booth to the CentOS community area to the Dell Services booth, Practical RHEL AI found its way into the hands of engineers, architects, and AI practitioners who are building production AI on Red Hat infrastructure. The Dell team grabbing four copies was a highlight — that is the kind of demand that tells you enterprise AI on RHEL has serious momentum.
Thank you to everyone who stopped by! 🎉
