Title: Week 09 Resources
Course: AIINFRA 101: Applied Infrastructure & Containerization > Section: Week 09 — Scaling & GPU-Aware Scheduling: HPA and the NVIDIA GPU Operator

📚 Resources

- Horizontal Pod Autoscaling: https://kubernetes.io/docs/concepts/workloads/autoscaling/horizontal-pod-autoscale/
- HorizontalPodAutoscaler Walkthrough (Metrics Server install for HPA): https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/
- HPA scale-up/scale-down behavior tuning example: https://oneuptime.com/blog/post/2026-02-20-kubernetes-hpa-cpu-memory/view
- NVIDIA GPU Operator official install guide: https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/getting-started.html
- GPU Operator components and customization: https://github.com/NVIDIA/gpu-operator
- minikube's official free NVIDIA GPU tutorial: https://minikube.sigs.k8s.io/docs/tutorials/nvidia/

Week 10 · Cloud Foundations for AI: Providers, IAM & Cost Guardrails