An interview with Jesper Rooth about RHEL AI
Training with Internal Data
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Jesper Rooth discusses Red Hat's new AI platform solution as well as their future AI plans.
Red Hat recently introduced Red Hat Enterprise Linux (RHEL) AI, a platform that enables the seamless development, testing, and deployment of enterprise applications using large language models (LLMs) from the IBM Granite family. We spoke to Jesper Rooth, EMEA Linux Platform Lead at Red Hat, about Red Hat's AI plans.
Linux Magazine: What technical features distinguish the RHEL AI platform from standard servers?
Jesper Rooth: RHEL AI is a base modeling platform that enables the development, testing, and deployment of enterprise applications using large Granite family language models. RHEL AI relies on a new feature in RHEL known as Image mode. Image mode is a deployment method that leverages the power of containers to integrate the various aspects of IT management into a single workflow. This makes Linux portable, scalable, and AI-enabled. On this basis, we can build an immutable RHEL installation containing only the software stack and the kernel to support generative LLM AI workloads. Basically, it's the same RHEL that users are used to, just wrapped with the immutability of Image mode.
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