DEVOPSdigest

Red Hat announced the general availability of Red Hat Enterprise Linux (RHEL) AI across the hybrid cloud.

RHEL AI is Red Hat’s foundation model platform that enables users to more seamlessly develop, test and run generative AI (gen AI) models to power enterprise applications. The platform brings together the open source-licensed Granite large language model (LLM) family and InstructLab model alignment tools, based on the Large-scale Alignment for chatBots (LAB) methodology, packaged as an optimized, bootable RHEL image for individual server deployments across the hybrid cloud.

Red Hat believes that over the next decade, smaller, more efficient and built-to-purpose AI models will form a substantial mix of the enterprise IT stack, alongside cloud-native applications. But to achieve this, gen AI needs to be more accessible and available, from its costs to its contributors to where it can run across the hybrid cloud. For decades, open source communities have helped solve similar challenges for complex software problems through contributions from diverse groups of users; a similar approach can lower the barriers to effectively embracing gen AI.

RHEL AI helps:

- Empower gen AI innovation with enterprise-grade, open source-licensed Granite models, and aligned with a wide variety of gen AI use cases.

- Streamline aligning gen AI models to business requirements with InstructLab tooling, making it possible for domain experts and developers within an organization to contribute unique skills and knowledge to their models even without extensive data science skills.

- Train and deploy gen AI anywhere across the hybrid cloud by providing all of the tools needed to tune and deploy models for production servers wherever associated data lives. RHEL AI also provides a ready on-ramp to Red Hat OpenShift AI for training, tuning and serving these models at scale while using the same tooling and concepts.

RHEL AI is also backed by the benefits of a Red Hat subscription, which includes trusted enterprise product distribution, 24x7 production support, extended model lifecycle support and Open Source Assurance legal protections.

As an extension of Red Hat’s hybrid cloud portfolio, RHEL AI will span nearly every conceivable enterprise environment, from on-premise datacenters to edge environments to the public cloud. This means that RHEL AI will be available directly from Red Hat, from Red Hat’s original equipment manufacturer (OEM) partners and to run on the world’s largest cloud providers,including Amazon Web Services (AWS), Google Cloud, IBM Cloud and Microsoft Azure. This enables developers and IT organizations to use the power of hyperscaler compute resources to build innovative AI concepts with RHEL AI.

RHEL AI is generally available today via the Red Hat Customer Portal to run on-premise or for upload to AWS and IBM Cloud as a “bring your own subscription” (BYOS) offering.

Availability of a BYOS offering on Azure and Google Cloud is planned in Q4 2024 and RHEL AI is also expected to be available on IBM Cloud as a service later this year.

Red Hat plans to further expand the aperture of RHEL AI cloud and OEM partners in the coming months, providing even more choice across hybrid cloud environments.