AI on GKE (Archived)

Warning

This repository has been archived to preserve its contents and is no longer actively maintained. It is now read-only, meaning no further changes or contributions can be made.

You can still freely browse all files, commit history, and issues. Please note that most of this repository's content has been migrated to new repositories under the AI on GKE GitHub Organization.

Content Migration Update

All content, including open PRs and Issues has been successfully migrated and updated! You can now find everything in the new repositories within the AI on GKE GitHub Organization and on the GKE AI Labs website.

Looking for Older Content?

If you're searching for a previous folder or guide, start by checking the main README.md file of the specific folder you're looking for. This file should include a direct link to where the code was migrated. If you can't find it there, please refer to the table below for overall guidance.

Repository Migration Table

Below is a breakdown of how the content from older folders has been migrated to new repositories within the AI on GKE GitHub Organization. This table will help you locate content that has been moved or updated.

Original ai-on-gke folder	New Repository
benchmarks	scalability-benchmarks
gke-batch-refarch	batch-reference-architecture
ml-platform	GoogleCloudPlatform/accelerated-platforms
tutorials-and-examples/nvidia*	nvidia-ai-solutions
applications	quick-start-guides
ray-on-gke	quick-start-guides
slurm-on-gke	slurm-on-gke
tools	tools
tpu-provisioner	tpu-provisioner
tutorials-and-examples	tutorials-and-examples
ray-on-gke\tpu\kuberay-tpu-webhook	kuberay-tpu-webhook
modules, scripts, charts	common-infra
website	website