Kubernetes for the AI Era

kubeskills.com

New SERIES IN DEVELOPMENT

Kubernetes

for the AI Era

How to run AI Inference on Kubernetes without becoming an ML Engineer

  • Deploy CPU-only LLM inference with Ollama on Kubernetes
  • Monitor GPU saturation, queue depth, inference latency, and reliability.
  • Build a production-oriented inference platform reference architecture.
  • Configure GPU-enabled Kubernetes nodes and understand extended resources
  • Operate model serving stacks with KServe and vLLM.
  • Use dynamic resource allocation for modern device scheduling.

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Building a hands-on, infrastructure-first KubeSkills lab series for Kubernetes administrators, platform engineers, and SREs who need to run AI inference workloads.

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I hope you are excited for this new direction for the KubeSkills community!
- Chad

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