Kubernetes GPU Platforms

The chapters in this module, in reading order.

#	Chapter
00	Kubernetes and GPU Platforms — The Five-Year-Old Version
01	Containers and Images — Pack once, run clean
02	Pods, Services, and Ingress — Objects that move traffic
03	Deployments and Scaling — Desired state with moving replicas
04	GPU Scheduling and Node Pools — Scarcity changes the rules
05	Storage in Kubernetes — Data should outlive the pod
06	Service Mesh and Network Policy — Secure traffic without blind trust
07	Autoscaling and Capacity — Grow fast, waste less
08	Rollouts and Health — Change fast without breaking trust
09	Honest Admission — Where Kubernetes and GPU platforms still hurt