Red Hat Enterprise Linux AI

Develop, deploy, and run large language models (LLMs) in individual server environments. The solution includes Red Hat AI Inference, an inference server that provides fast, consistent, and cost-effective inference at scale. As the engine for agentic AI and Models-as-a-Service work patterns, it provides the operational control to run any model on any accelerator across the hybrid cloud.

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Getting Started with RHEL AI

Discover how RHEL AI can help fine-tune large language models (LLMs), enabling the creation of custom models that incorporate new knowledge and skills from foundational models.

Building your RHEL AI environment

Creating accounts, initializing RHEL AI, downloading models, add serving/chat customizations.

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Installing RHEL AI

Instructions for installing RHEL AI on machines with the bootable container image.

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Creating Skills and Knowledge YAML files

Guidelines on creating skills and knowledge YAML files.

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CLI Reference

RHEL AI command line interface(CLI) reference.

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Generating a custom LLM using RHEL AI

Using SDG, training, and evaluation to create a custom LLM.

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Learning paths

Learning Path RHEL_AI_LP_featured_Image
Configure your Red Hat Enterprise Linux AI machine, download, serve, and...