Page 60 - Red Hat PR REPORT - MAY 2024

5/13/24, 3:00 PM Red Hat Saddles Up For The Wide Open GenAI Horizons
“AI systems are growing more complex and pervasive
every day,” OSI wrote when defining the need for a
definition. “The traditional view of open source code
and licenses when applied to AI components are not
sufficient to guarantee the freedoms to use, study, share
and modify the systems. It is time to address the
question: What does it mean for an AI system to be open
source?”

Meanwhile, chip makers and other tech vendors are
boasting of their open architectures, open platforms, and
industry-standard approaches. At Intel’s Vision 2024
event last month, Intel chief executive officer Pat
Gelsinger said that “now’s the time to build open
platforms for enterprise AI. We are working to address
key requirements that include how you efficiently
deploy using existing infrastructure, seamless integrated
with hardened enterprise software stacks that you have
today, a high degree of reliability, availability, security,
support issues.”

AI OPPORTUNITIES AND RISKS

Red Hat at its Red Hat Summit this week in Denver is
doubling down generative AI, with the bulk of its more
than two-dozen announcements centering around how
it’s infusing its portfolio with generative AI capabilities
and how the enterprise trends in AI are bending toward
hybrid architectures and open standards, which are in
the company’s wheelhouse. The rapid pace of
innovation is presenting organizations with both
opportunities and risk, according to Steven Huels, vice
president and general manager of Red Hat’s AI Business
Unit.

There is “a lot of opportunity in the form of open
models now that have come along that are rivaling their
proprietary or cloud counterparts with accuracy, speed
and capability to be deployed across multiple
footprints,” Huels said during a call with journalists and
analyst in the run-up to the show. “At this point,
customers know that AI’s not going to be defined by
single footprint. They know they need a hybrid AI story.
Again, those open models, they represent an opportunity
to move models on-prem, use existing CapEx and

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