feat(examples): add Ray on AKS example#5768
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Add example for running Ray applications on AKS, including: - Setup script with commands for infra, Kueue, and KubeRay operator - RayCluster and RayJob manifests - Terraform-based AKS deployment (aks-classic) - CPU inference example with Kueue integration Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add run_inference_cpu command to setup.sh - Use MCR Ray image (ray:py3.12-ray2.54.0) - Rename namespace from e2e-stack to ray - Rename job from e2e-inference to cpu-inference - Consolidate install_kueue/install_kuberay into install_operators Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Head node at 4Gi was hitting 96% memory usage from Ray system processes alone. Increased to 8Gi and updated Kueue memory quota from 20Gi to 24Gi to accommodate. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add Helm provider to deploy Kueue and KubeRay via Terraform - Align Terraform defaults with setup.sh (VM sizes, node counts) - Update region to centralus in both setup.sh and Terraform - Simplify deploy.sh now that Terraform handles Helm releases Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Summary
Add an example for running Ray applications on AKS using the KubeRay operator and Kueue for job queueing.
What's included
Helm charts
Uses internal AKS AI Runtime charts from
oci://mcr.microsoft.com/aks/ai-runtime/helm: