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Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on

in the skill texttokens, PVCs) cat inference.yaml # Deploy kubectl apply -f inference.yaml # Monitor kubectl get pods -w kubectl logs -f ``` > Some models require Hugging Face tokens. Create a Kubernetes

Official·Skill·Apache-2.0·★ 21k in collection·No key

Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit to

in the skill textNotes -------------------------------------------------------------- | --------------------------------------- | ------- | ----- `workloadIdentityConfig.workloadPool` | ` .svc.id.goog` | Day-0 | Workload Identity Federation for cluster pods `secretManagerConfig.enabled` | `true` | Day-1 | Google S

Official·Skill·Apache-2.0·★ 21k in collection·No key