Page 52 - Red Hat PR REPORT - MAY 2024
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5/14/24, 2:32 PM                                             Latest News
        of users.
        ? Optimized bootable model runtime instances with Granite models and InstructLab tooling packages as

        bootable RHEL images via RHEL image mode, including optimized Pytorch runtime libraries and accelerators
        for AMD Instinct™ MI300X, Intel and NVIDIA GPUs and NeMo frameworks.

        ? Red Hat’s complete enterprise support and lifecycle promise that starts with a trusted enterprise product
        distribution, 24x7 production support and extended lifecycle support.



        As organizations experiment and tune new AI models on RHEL AI, they have a ready on-ramp for scaling
        these workflows with Red Hat OpenShift AI, which will include RHEL AI, and where they can leverage

        OpenShift’s Kubernetes engine to train and serve AI models at scale and OpenShift AI’s integrated MLOps
        capabilities to manage the model lifecycle. IBM’s watsonx.ai enterprise studio, which is built on Red Hat

        OpenShift AI today, will benefit from the inclusion of RHEL AI in OpenShift AI upon availability, bringing
        additional capabilities for enterprise AI development, data management, model governance and improved

        price performance.
        The cloud is hybrid. So is AI.
        For more than 30 years, open source technologies have paired rapid innovation with greatly reduced IT costs

        and lowered barriers to innovation. Red Hat has been leading this charge for nearly as long, from delivering
        open enterprise Linux platforms with RHEL in the early 2000s to driving containers and Kubernetes as the

        foundation for open hybrid cloud and cloud-native computing with Red Hat OpenShift.



        This drive continues with Red Hat powering AI/ML strategies across the open hybrid cloud, enabling AI
        workloads to run where data lives, whether in the datacenter, multiple public clouds or at the edge. More than

        just the workloads, Red Hat’s vision for AI brings model training and tuning down this same path to better
        address limitations around data sovereignty, compliance and operational integrity. The consistency delivered
        by Red Hat’s platforms across these environments, no matter where they run, is crucial in keeping AI

        innovation flowing.



        RHEL AI and the InstructLab community further deliver on this vision, breaking down many of the barriers to
        experimenting with and building AI models while providing the tools, data and concepts needed to fuel the

        next wave of intelligent workloads.
        Availability

        Red Hat Enterprise Linux AI is now available as a developer preview. Building on the GPU infrastructure
        available on IBM Cloud, which is used to train the Granite models and support InstructLab, IBM Cloud will
        now be adding support for RHEL AI and OpenShift AI. This integration will allow enterprises to deploy

        generative AI more easily into their mission critical applications.



        Red Hat Summit


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