Red Hat went all-in on generative AI at its annual summit last week, offering a wide range of tools for operational and development teams to help them build and deploy generative AI systems. That includes tools for creating and managing a model garden, training and fine-tuning models, building applications, and deploying generative AI at scale in a hybrid architecture.
Red Hat did not release its own generative AI foundation model last week. Instead, it partnered with IBM to feature the Granite models as the default option in its tool sets and as the base for its Lightspeed products. But Red Hat had everything else. It delivered a version of Linux – Red Hat Enterprise Linux AI – optimized for AI, InstructLab for fine tuning models, and Podman AI Lab for building and testing AI-powered applications.
Red Hat also made improvements to OpenShift AI, a platform released last year for deploying gen AI applications at scale. These improvements include the ability to serve AI models at the edge and better model development. Red Hat also announced that Lightspeed, a generative AI tool already embedded as an assistant in Red Hat’s Ansible automation platform, is being extended to OpenShift and Red Hat Enterprise Linux.
