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here are a few key points on using Flatcar Linux to build a custom production image for your HPC AI application:
Flatcar Linux uses Gentoo's portage package manager and ebuild system underneath. This allows you to customize and add packages as needed by adding ebuilds and dependencies.
The SDK provides a containerized build environment for creating custom Flatcar images. It allows you to modify packages, kernel config, etc and produce images for different platforms like QEMU/KVM, cloud providers, etc.
Start with the latest Flatcar Linux alpha/beta release branch for a stable base. Checkout the scripts repo and use the run_sdk_container wrapper to launch the SDK.
Build a basic image first as a known good base using build_packages and build_image. Then test it with image_to_vm.sh and QEMU.
Modify packages by adding upstream Gentoo ebuilds or coreos-overlay. Emerge packages in the SDK to build/install. Add to the base image.
Change the kernel config by running kernel package builds manually via ebuild. Test changes before persisting them back to the ebuild.
Mantle utilities can help test and launch built images. The SDK can also be rebuilt fully using the bootstrap scripts.
Overall utilize Flatcar's immutable model and SDK for building, testing iterations quickly. Maintain changes in coreos-overlay. Productionize image with terraform/kubernetes.

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