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 * Press releases
   
 * Red Hat Delivers Accessible, Open Source Generative AI Innovation with...


RED HAT DELIVERS ACCESSIBLE, OPEN SOURCE GENERATIVE AI INNOVATION WITH RED HAT
ENTERPRISE LINUX AI

 * The offering is the first to deliver supported, indemnified and open
   source-licensed IBM Granite LLMs under Red Hat’s flexible and proven
   enterprise subscription model
 * Adds open source InstructLab model alignment tools to the world’s leading
   enterprise Linux platform to simplify generative AI model experimentation and
   alignment tuning
 * Provides a supported, enterprise-ready model runtime environment across AMD,
   Intel and NVIDIA platforms for fueling AI innovation built on open source


DENVER – RED HAT SUMMIT 2024 - May 7, 2024 —

Red Hat, Inc., the world's leading provider of open source solutions, today
announced the launch of Red Hat Enterprise Linux AI (RHEL AI), a foundation
model platform that enables users to more seamlessly develop, test and deploy
generative AI (GenAI) models. RHEL AI brings together the open source-licensed
Granite large language model (LLM) family from IBM Research, InstructLab model
alignment tools based on the LAB (Large-scale Alignment for chatBots)
methodology and a community-driven approach to model development through
the InstructLab project. The entire solution is packaged as an optimized,
bootable RHEL image for individual server deployments across the hybrid cloud
and is also included as part of OpenShift AI, Red Hat’s hybrid machine learning
operations (MLOps) platform, for running models and InstructLab at scale across
distributed cluster environments.

> Icon-Red_Hat-Media_and_documents-Quotemark_Open-B-Red-RGB
> 
> RHEL AI and the InstructLab project, coupled with Red Hat OpenShift AI at
> scale, are designed to lower many of the barriers facing GenAI across the
> hybrid cloud, from limited data science skills to the sheer resources
> required, while fueling innovation both in enterprise deployments and in
> upstream communities.
> 
> 
> 
> Ashesh Badani
> 
> Senior Vice President and Chief Product Officer, Red Hat

The launch of ChatGPT generated tremendous interest in GenAI, with the pace of
innovation only accelerating since then. Enterprises have begun moving from
early evaluations of GenAI services to building out AI-enabled applications. A
rapidly growing ecosystem of open model options has spurred further AI
innovation and illustrated that there won’t be “one model to rule them all.”
Customers will benefit from an array of choices to address specific
requirements, all of which stands to be further accelerated by an open approach
to innovation.

Implementing an AI strategy requires more than simply selecting a model;
technology organizations need the expertise to tune a given model for their
specific use case, as well as deal with the significant costs of AI
implementation. The scarcity of data science skills are compounded by
substantial financial requirements including:

 * Procuring AI infrastructure or consuming AI services 
 * The complex process of tuning AI models for specific business needs
 * Integrating AI into enterprise applications
 * Managing both the application and model lifecycle.

To truly lower the entry barriers for AI innovation, enterprises need to be able
to expand the roster of who can work on AI initiatives while simultaneously
getting these costs under control. With InstructLab alignment tools, Granite
models and RHEL AI, Red Hat aims to apply the benefits of true open source
projects - freely accessible and reusable, transparent and open to contributions
- to GenAI in an effort to remove these obstacles.


BUILDING AI IN THE OPEN WITH INSTRUCTLAB

IBM Research created the Large-scale Alignment for chatBots (LAB) technique, an
approach for model alignment that uses taxonomy-guided synthetic data generation
and a novel multi-phase tuning framework. This approach makes AI model
development more open and accessible to all users by reducing reliance on
expensive human annotations and proprietary models. Using the LAB method, models
can be improved by specifying skills and knowledge attached to a taxonomy,
generating synthetic data from that information at scale to influence the model
and using the generated data for model training.

After seeing that the LAB method could help significantly improve model
performance, IBM and Red Hat decided to launch InstructLab, an open source
community built around the LAB method and the open source Granite models from
IBM. The InstructLab project aims to put LLM development into the hands of
developers by making, building and contributing to an LLM as simple as
contributing to any other open source project.

As part of the InstructLab launch, IBM has also released a family of
select Granite English language and code models in the open. These models are
released under an Apache license with transparency on the datasets used to train
these models. The Granite 7B English language model has been integrated into the
InstructLab community, where end users can contribute the skills and knowledge
to collectively enhance this model, just as they would when contributing to any
other open source project. Similar support for Granite code models within
InstructLab will be available soon.


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, 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

Join the Red Hat Summit keynotes to hear the latest from Red Hat executives,
customers and partners:

 * The cloud is hybrid. So is AI. — Tuesday, May 7, 8-10 a.m. MDT
   (YouTube, LinkedIn)
 * Optimizing IT for the AI era. — Wednesday, May 8, 8:30-9:30 a.m. MDT
   (YouTube, LinkedIn)

Supporting Quotes

Ashesh Badani, senior vice president and chief product officer, Red Hat

“GenAI presents a revolutionary leap forward for enterprises, but only if
technology organizations are able to actually deploy and use AI models in a way
that matches their specific business needs. RHEL AI and the InstructLab project,
coupled with Red Hat OpenShift AI at scale, are designed to lower many of the
barriers facing GenAI across the hybrid cloud, from limited data science skills
to the sheer resources required, while fueling innovation both in enterprise
deployments and in upstream communities.”

Ramine Roane, corporate vice president, AI Group, AMD

"AI is one of the most important shifts in technology in the past 50 years. To
help accelerate broader adoption of AI, the models and tools used to build AI
applications need to be made accessible to the enterprise. Built on a trusted
Linux backbone with open source tooling and open source-licensed models, RHEL AI
is one of the platforms that can provide this, and we’re pleased to support Red
Hat’s effort in driving AI in the enterprise forward with our AMD technologies
including Instinct AI accelerators.”

Jeremy Foster, senior vice President and general manager, Networking - Compute,
Cisco

“The AI movement represents a seismic shift for enterprises, and many
organizations are grappling with the best path forward. Cisco continues to work
closely with Red Hat to advance AI adoption and RHEL AI will accelerate
innovation by providing open-source enabled LLM models as part of an
enterprise-ready Linux platform.”

Ihab Tarazi, senior vice president and chief technology officer, AI and Compute,
Dell Technologies

“Customers are looking to capture the value that generative AI can provide to
transform their businesses. Powered by GPU accelerated Dell PowerEdge Servers,
RHEL AI combines the open source innovation and transparency of Granite models
and the InstructLab project to deliver a foundation model platform that is
accessible to a wider range of users and partners.” 

Frances Guida, director, Compute Solutions and AI, Hewlett Packard Enterprise

"Hewlett Packard Enterprise has collaborated with Red Hat for two decades to
provide industry-leading solutions that combine the HPE Compute platforms with
RHEL. An open environment is critical to innovation in fast-growing technology
categories like generative AI and we are looking forward to exploring new areas
of collaboration with RHEL AI and Red Hat to help HPE customers find success.”

Darío Gil, senior vice president and director, Research, IBM

“Bringing true open source innovation to AI model development and harnessing the
power of a broad community will change how enterprises think about their plans
for AI adoption and scale. IBM has been a strong supporter of open source,
backing influential communities like Linux, Apache, and Eclipse, and our
collaboration with Red Hat represents a step forward in our open approach to
building safe, responsible, and effective AI. RHEL AI and InstructLab, combined
with IBM’s open source Granite family of models, will deliver new value and
choice for clients who are looking to build fit for purpose models that address
their use cases with their own data while minimizing cost across a diverse
hybrid cloud environment.”

Hillery Hunter, CTO and general manager of innovation, IBM Infrastructure

“Many enterprises are looking to infuse AI into their mission-critical
applications. The availability of RHEL AI and OpenShift AI on IBM Cloud will
help transform how the community and companies build and leverage generative AI.
We are enabling open collaboration, simplifying model customization and
providing enterprise-quality supported models and tools for building AI into
every application.”

Justin Hotard, executive vice president and general manager, Data Center & AI
Group, Intel

“For AI adoption to scale, it needs to be fully open source, where community
members contribute and create new applications and use cases.  By incorporating
the open source Granite models and the InstructLab project, RHEL AI is poised to
bring a significant change in how we interact with, tune and ultimately use AI
models in production.”

Kirk Skaugen, president, Lenovo ISG

“Customers deploying AI-driven applications need to be able to test and
experiment with potential models on a trusted and familiar but still innovative
platform. Lenovo believes the future of AI is hybrid, and we see RHEL AI as a
critical pathway for widespread hybrid AI innovation, and through Red Hat
OpenShift AI, production scalability. We’re pleased to work with Red Hat in
driving this hybrid AI innovation forward through joint testing on our
ThinkSystem 8-GPU servers, providing a trusted hardware foundation for
powering open source AI.”

Justin Boitano, vice president, Enterprise Products, NVIDIA

“Red Hat and NVIDIA have a long history of close collaboration, and Red Hat
Enterprise Linux AI demonstrates our shared focus on bringing full-stack
computing and software to the developers and researchers building the next wave
of AI technology and applications.”


ADDITIONAL RESOURCES

 * Learn more about RHEL AI
 * Read a more about InstructLab
 * Find out more about open source-licensed Granite code models
 * Learn more about Red Hat Summit
 * See all of Red Hat’s news announcements this week in the Red Hat Summit
   newsroom
 * Follow @RedHatSummit or #RHSummit on Twitter/X for event-specific updates


CONNECT WITH RED HAT

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 * Get more news in the Red Hat newsroom
 * Read the Red Hat blog
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 * Follow Red Hat on LinkedIn

In short

Red Hat announces the launch of Red Hat Enterprise Linux AI (RHEL AI), a
foundation model platform that enables users to more seamlessly develop, test
and deploy generative AI (GenAI) models.

Mentioned in this article

Red Hat Enterprise Linux, Red Hat Enterprise Linux AI, Red Hat OpenShift AI,
InstructLab

For more information

Learn more about RHEL AI

Contact Red Hat PRIcon-Red_Hat-Directional-A-Black-RGB
Subscribe to the feed
 * ABOUT RED HAT

 * Red Hat is the world’s leading provider of enterprise open source software
   solutions, using a community-powered approach to deliver reliable and
   high-performing Linux, hybrid cloud, container, and Kubernetes technologies.
   Red Hat helps customers integrate new and existing IT applications, develop
   cloud-native applications, standardize on our industry-leading operating
   system, and automate, secure, and manage complex environments. Award-winning
   support, training, and consulting services make Red Hat a trusted adviser to
   the Fortune 500. As a strategic partner to cloud providers, system
   integrators, application vendors, customers, and open source communities, Red
   Hat can help organizations prepare for the digital future.



 * FORWARD-LOOKING STATEMENTS

 * Except for the historical information and discussions contained herein,
   statements contained in this press release may constitute forward-looking
   statements within the meaning of the Private Securities Litigation Reform Act
   of 1995. Forward-looking statements are based on the company’s current
   assumptions regarding future business and financial performance. These
   statements involve a number of risks, uncertainties and other factors that
   could cause actual results to differ materially. Any forward-looking
   statement in this press release speaks only as of the date on which it is
   made. Except as required by law, the company assumes no obligation to update
   or revise any forward-looking statements.
   
   ###
   
   Red Hat, Red Hat Enterprise Linux, the Red Hat logo and OpenShift are
   trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in
   the U.S. and other countries. Linux® is the registered trademark of Linus
   Torvalds in the U.S. and other countries.



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