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This chapter covers the core components and architecture of Red Hat Enterprise Linux Artificial Intelligence (RHEL AI) in the iLab environment, providing a complete understanding of its main systems. It explains how large language models (LLMs) are downloaded, managed, and served, emphasizing the key processes that support model lifecycle operations. Readers will also learn the workflow for customizing, deploying, and working with AI models using community-driven tools like InstructLab, giving them the knowledge to participate effectively in RHEL AI development and optimization.

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Exploring Core Components

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  • 发表日期：

    2026年

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  • Luca Berton

摘要

This chapter covers the core components and architecture of Red Hat Enterprise Linux Artificial Intelligence (RHEL AI) in the iLab environment, providing a complete understanding of its main systems. It explains how large language models (LLMs) are downloaded, managed, and served, emphasizing the key processes that support model lifecycle operations. Readers will also learn the workflow for customizing, deploying, and working with AI models using community-driven tools like InstructLab, giving them the knowledge to participate effectively in RHEL AI development and optimization.