Red Hat launches enhanced AI solutions to accelerate hybrid cloud development

On March 26, 2025, in Raleigh, North Carolina, Red Hat, Inc. announced significant updates to its AI portfolio aimed at accelerating the deployment of AI solutions across hybrid cloud environments. As enterprises increasingly move to integrate AI into their operations, they face the dual challenge of deploying large language models (LLMs) efficiently while also ensuring that these models can interact with proprietary data across various platforms, including data centers and public clouds. Red Hat AI encompasses two main components, Red Hat OpenShift AI and Red Hat Enterprise Linux AI, which together form an enterprise platform designed to optimize AI model performance tailored to specific business needs. The latest updates include features that streamline the tuning of LLMs using tools such as InstructLab, paving the way for organizations to create models that not only scale but are also secure and manageable in production environments. Specifically, Red Hat OpenShift AI 2.18 introduces an end-to-end model tuning experience, allowing businesses to simplify the fine-tuning of AI models while maintaining oversight through a comprehensive dashboard. Additionally, the use of Granite LLMs and other alignment tools packaged within RHEL AI offers customers a bootable server image for broad deployment across hybrid clouds. These advancements are crucial for businesses looking to harness AI-driven insights while managing costs and safeguarding data security. Organizations like Airbus Helicopters have already begun utilizing Red Hat's AI capabilities to unify their data science efforts and streamline their AI journey, aligning with their broader business strategies. Furthermore, HCLTech's integration of Red Hat's AI infrastructure services aims to address key industry challenges such as the security of sensitive data and the scalability of AI workloads. With the general availability of both Red Hat OpenShift AI 2.18 and Red Hat Enterprise Linux AI 1.4, the company continues to position itself at the forefront of enterprise AI solutions, emphasizing flexibility, efficiency, and the need to design AI systems that respect organizational data governance standards.