Red Hat Enterprise Linux AI

Seamlessly develop, deploy, and run open source Granite generative AI models to power your enterprise applications.

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Introducing an accessible open source AI platform

RHEL AI simplifies deployment across hybrid infrastructure environments by integrating enterprise-ready versions of InstructLab and Granite language models, along with a bootable image of Red Hat Enterprise Linux. This forms a foundation model platform for bringing open source-licensed gen AI models into the enterprise, lowering costs and removing barriers to testing and experimentation. The platform supports tools like vLLM, DeepSpeed, and PyTorch, and leverages containerization with Podman, RHEL Image mode, and scalable deployments using Kubernetes and OpenShift.

Users can join a growing community of AI contributors through InstructLab, enhancing large language models with additional skills and data cost-effectively.

What’s included in RHEL AI

Open source Granite language and code models

Fully supported and indemnified by Red Hat for enterprise use.

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A supported, life-cycled distribution of InstructLab

A scalable, cost-effective solution for enhancing LLM capabilities and making knowledge and skills contributions accessible.

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Cloud-native scalability

With Image Mode for RHEL, RHEL AI lets you manage your AI platform as a container image, streamlining your approach to scaling.

Acceleration and AI Tooling

Leverage pre-built, bootable RHEL images with PyTorch, hardware acceleration libraries for NVIDIA, Intel and AMD. Integrate your existing workflows with support for vLLM, DeepSpeed and PyTorch.

Red Hat Enterprise Linux AI allows portability across hybrid cloud environments and provides an onramp to AI at scale with Red Hat OpenShift AI, and to additional capabilities with IBM watsonx.ai.