AI/ML: Persistent workspaces for multiple users
The first challenge for an AI/ML practitioner is gathering the necessary data to feed the process. The solution? Advanced planning algorithms that organize data better than humans in far less time.
AI/ML resources
Apply generative AI to app modernization with Konveyor AI
Learn about Konveyor AI, an open souce tool that uses generative AI to shorten the time and cost of application modernization at scale.
InstructLab: Advancing generative AI through open source
Introducing InstructLab, an open source project for enhancing large language models (LLMs) used in generative AI applications through a community approach.
Introducing Podman AI Lab: Developer tooling for working with LLMs
Explore the advantages of Podman AI Lab, which lets developers easily bring AI into their applications without depending on infrastructure beyond a laptop.
AI Lab Recipes
The AI Lab Recipes repository offers recipes for building and running containerized AI and LLM applications to help developers move quickly from prototype to production.
Image mode for Red Hat Enterprise Linux quick start: AI inference
Learn how to build a containerized bootable operating system to run AI models using image mode for Red Hat Enterprise Linux, then deploy a custom image.
Deploy computer vision applications at the edge with MicroShift
Learn how to deploy a trained AI model onto MicroShift, Red Hat’s lightweight Kubernetes distribution optimized for edge computing.
