Page 46 - Red Hat PR REPORT - MAY 2024

5/14/24, 2:32 PM Red Hat Delivers Accessible, Open Source Generative AI Innovation with Red Hat Enterprise Linux AI - Middle East News 247

Open source AI innovation on a trusted Linux backbone

RHEL AI builds on this open approach to AI innovation, incorporating an enterprise-ready version of the
InstructLab project and the Granite language and code models along with the world’s leading enterprise

Linux platform to simplify deployment across a hybrid infrastructure environment. This creates a foundation
model platform for bringing open source-licensed GenAI models into the enterprise. RHEL AI includes:

Open source-licensed Granite language and code models that are supported and indemnified by

Red Hat.
A supported, lifecycled distribution of InstructLab that provides a scalable, cost-effective solution
for enhancing LLM capabilities and making knowledge and skills contributions accessible to a much
wider range 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, 24×7 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

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