Red Hat Enterprise Linux AI

Why Red Hat Enterprise Linux AI?

Generative AI requires data control. Cloud AI services mean data leaves your control. LLM fine-tuning is complicated. GPU infrastructure expensive. No enterprise support for AI.

Red Hat Enterprise Linux AI is generative AI for enterprise with data sovereignty. On-premises - data stays with you. InstructLab - simplified fine-tuning. Granite models - production-ready LLMs. Enterprise support - Red Hat backing.

How does it work?

Foundation Models

Production-ready LLMs:

• Granite models
• Open weights
• Various sizes
• Tested and validated
• Enterprise license

InstructLab

Simplified fine-tuning:

• No ML expertise required
• Skills-based approach
• Synthetic data generation
• Iterative improvement
• Community contribution

Hardware Optimization

Efficient deployment:

• GPU acceleration
• CPU inference
• NPU support
• Memory optimization
• Performance tuning

Key Features

Model Management

• Pre-trained models
• Fine-tuning tools
• Version control
• Model testing
• Deployment automation

InstructLab Workflow

• Skills definition
• Synthetic data
• Model training
• Evaluation
• Iteration

Enterprise Features

• SELinux integration
• Audit logging
• Access control
• Secure boot
• Compliance readiness

Hardware Support

Type	Vendors
GPU	NVIDIA, AMD, Intel
CPU	Intel, AMD (inference)
NPU	Intel Gaudi
Cloud	AWS, Azure, GCP

Use Cases

Enterprise Chatbots:

• Customer service
• Internal helpdesk
• Knowledge base Q&A
• Document search

Content Generation:

• Report writing
• Email creation
• Code assistant
• Documentation

Specialized AI:

• Legal document analysis
• Medical text processing
• Financial reporting
• Technical support

Specifications

Foundation	RHEL 9
Models	Granite family
Fine-tuning	InstructLab
Deployment	On-prem, cloud

Who is it for?

• Enterprises requiring data sovereignty
• Regulated industries (finance, healthcare)
• Organizations with on-prem AI requirements
• Companies customizing LLMs

Benefits

For security: Data sovereignty, on-prem control, compliance

For AI teams: Simplified fine-tuning, production-ready models

For business: Enterprise AI without cloud dependency

FAQ

What is InstructLab? Open source tool for fine-tuning LLMs without ML expertise.

What Granite models are available? Family from 3B to 34B parameters. Various sizes and capabilities.

Does data leave my environment? No. Everything runs on-premises.

What GPU do I need? Recommended NVIDIA datacenter GPU. AMD/Intel supported.

Can I use without GPU? Yes for inference. Training requires GPU.

How does fine-tuning work? InstructLab: define skill → generate data → train → evaluate.

Does it integrate with OpenShift? Yes. RHEL AI + OpenShift AI for complete platform.

What is the cost? Subscription model. Contact for pricing.

Does it support RAG? Yes. Vector databases and RAG patterns supported.

How does support work? Red Hat support. nFlo offers generative AI deployment.