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Red Hat updates AI portfolio for hybrid cloud deployment

Source Decision Insights Coverage Published March 26, 2025 Companies 1
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5th article in the last 90 days, one of 5 articles referencing Red Hat. Previous coverage: Sector Intelligence: Data Center, AI, Quantum Computing (Mar 2025).

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Red Hat has updated its Artificial Intelligence (AI) portfolio, enhancing capabilities in Red Hat OpenShift AI and Red Hat Enterprise Linux AI. These updates aim to support enterprises in deploying AI solutions efficiently across hybrid cloud environments. The latest iteration of Red Hat OpenShift AI, now at version 2.18, introduces features such as distributed serving, which allows IT teams to share model workloads across multiple GPUs to optimize computational resources. The platform also provides end-to-end model tuning capabilities through InstructLab and simplifies model management processes in production settings. Red Hat Enterprise Linux AI (RHEL AI) now serves as a foundation model platform, enabling organizations to develop, test, and operate large language models (LLMs). Version 1.4 includes support for the Granite 3.1 model, which enhances multilingual capabilities and improves summarization functionality.

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