"The new version aims to bridge the gap between AI experimentation and large-scale production deployment. Red Hat CEO Matt Hicks stated during the keynote that AI is the biggest technological turning point ever. He sees it as a greater change than open source, Linux, and the public cloud. This is because AI transcends traditional IT and impacts the entire business. Previous disruptive technological advancements were primarily an IT matter."
"Whenever such a technological shift occurs, the debate flares up over whether companies need to rebuild everything from scratch to remain competitive. Hicks is clear on this: that is not the reality. "In every previous inflection point, regardless of the desire or the energy that is put into trying to rebuild everything, there has always been a balance left for enterprises." That balance is what companies ultimately arrive at, no matter what is attempted."
"Red Hat aims to facilitate precisely that balance with its platforms. Companies must leverage AI to the fullest while ensuring that what keeps their business running today continues to work. Red Hat AI 3.4 is designed to be a key asset in this regard, by supporting both developers who build models and infrastructure administrators who run them-two groups that, in practice, still frequently work at cross-purposes."
"Model-as-a-Service (MaaS) plays a key role in this release. Through the Red Hat AI Gateway, platform administrators gain a central, secure interface to manage model access, track usage, and enforce policies. Developers access models via standard OpenAI-compatible APIs, so they don't need a different approach for"
Red Hat Summit centers on unlocking what’s next, including virtualization, hybrid cloud, and AI. Red Hat released Red Hat AI 3.4 to connect AI experimentation with large-scale production deployment. Red Hat CEO Matt Hicks described AI as the biggest technological turning point, exceeding prior shifts like open source, Linux, and public cloud because AI affects the entire business beyond traditional IT. The release addresses the recurring question of whether companies must rebuild everything from scratch by emphasizing a balance enterprises can maintain. Red Hat positions its platforms to help companies use AI fully while keeping existing business systems running. Red Hat AI 3.4 supports both model developers and infrastructure administrators, reducing cross-team friction. Model-as-a-Service is central, with Red Hat AI Gateway providing secure centralized model access, usage tracking, and policy enforcement, while developers use OpenAI-compatible APIs.
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