How Red Hat is embracing AI to make sysadmin lives easier
I'll be so glad once every technology or business press release no longer begins, "Now with AI!" Most of the time, it's just lip service. And then there's Red Hat, which is integrating AI across its product line. This includes Red Hat Enterprise Linux AI (RHEL AI); Red Hat OpenShift AI; and Red Hat Ansible Automation. Here's what each one does and how they fit together.
Red Hat was working with AI well before this rush of announcements. Red Hat's first serious AI work was with Red Hat Lightspeed, a generative AI service with an automation-specific foundation model. Lightspeed, which uses natural language processing (NLP) to turn prompts into code, first appeared in the Ansible DevOps program, where it helped to simplify complex system administration jobs. In particular, it was designed to demystify the creation of Ansible Playbooks.
Moving forward, RHEL AI is Red Hat's foundational AI platform. Currently only a developer's preview, RHEL AI is designed to streamline generative AI model development, testing, and deployment. This new platform fuses IBM Research's open-source-licensed Granite large language model (LLM) family, the LAB methodology-based InstructLab alignment tools, and a collaborative approach to model development via the InstructLab project.
