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gpu-kubernetes-operations

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Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.

infrastructure/local-ai/gpu-kubernetes-operations/SKILL.md

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# GPU Kubernetes Operations

Run resilient and cost-efficient GPU clusters for production AI workloads.

## When to Use This Skill

- Setting up GPU node pools in Kubernetes for AI inference or training
- Configuring NVIDIA device plugin and GPU operator
- Implementing MIG partitioning to share GPUs across workloads
- Building GPU-aware autoscaling policies
- Monitoring GPU health with DCGM and Prometheus
- Troubleshooting GPU scheduling, driver, or OOM issues

## Prerequisites