Red Hat Enterprise Linux AI

This foundation model platform allows users to develop, test, and run large language models (LLMs) for enterprise applications. It includes InstructLab model alignment tools, a bootable image with AI libraries, and enterprise-grade technical support. It enables portability across hybrid cloud environments and scalability with Red Hat OpenShift AI and IBM watsonx.ai.

Key Features and Benefits: 

Red Hat Enterprise Linux AI offers features such as tuning smaller, purpose-built models with user data, simplifying generative AI model experimentation and alignment tuning through InstructLab, and providing cloud-native scalability with Red Hat Enterprise Linux image mode. It also supports faster results with open-source hardware accelerators and optimized deep learning features of PyTorch.

RHEL AI provides a robust foundation for generative AI workloads, including the integration of the Granite family of open-source LLMs. This allows organizations to leverage powerful AI models within a stable and supported environment.

Community-Driven Model Alignment: RHEL AI incorporates InstructLab, a tool that enables community-driven model alignment. This approach simplifies the process of customizing and fine-tuning LLMs, making it more accessible to a wider range of users, including those without extensive data science expertise.

Enterprise-Grade Support and Integration: RHEL AI delivers enterprise-level technical support and Open Source Assurance, providing businesses with the confidence and reliability they need for mission-critical AI applications. Furthermore, it is designed for hybrid cloud portability, and can be scaled up utilizing Red Hat OpenShift AI, and also can advance to IBM watsonx.ai.

Ecosystem and Partnerships: 

Red Hat collaborates with various hardware, cloud, and system integrator partners to enhance the capabilities of Red Hat Enterprise Linux AI. Partners include NVIDIA, AMD, Intel, Dell, Lenovo, AWS, Microsoft Azure, Google Cloud, IBM Cloud, Accenture, IBM, and Kyndryl. These partnerships aim to deliver optimized performance and scalable platforms for diverse AI use cases.