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google-cloud-solution-guided-gke-ai-migration

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Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.

When to use

• Migrating existing AI inference workloads to GKE
• Hardware sizing for GKE inference
• Model staging for GKE
• Manifest generation for GKE
• Validation of GKE deployment
• Traffic cutover for AI workloads
• Migrating from Cloud Run to GKE
• Migrating from Gemini API to GKE

When not to use

• Brand new GKE inference deployments with no existing workload
• Automating migration via Gemini Cloud Assist MCP server

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