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Practical RHEL AI

Build, deploy, and operate AI workloads on Red Hat Enterprise Linux

A hands-on guide to running AI and machine-learning workloads on RHEL — from GPU enablement to MLOps pipelines, model serving, and platform engineering for AI.

Author
Luca Berton
Format
book
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A practical, deployment-focused guide to running AI workloads on Red Hat Enterprise Linux: GPU drivers and orchestration, container-based model serving, MLOps tooling, and the platform-engineering patterns that keep AI systems reliable in production.

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