Google19:00Feature UpdatesOfficial Blog
Cost-Effective LLM Serving with Ollama on GKE GPU Sharing
Share GPUs to cut LLM serving costs and simplify ops.
Key Points
- 1Auto-scale with GKE Autopilot.
- 2Lightweight serving via Ollama.
- 3Tenant isolation with vCluster.
- 4Maximize resources with GPU sharing.
Google Cloud introduced combining GKE Autopilot, Ollama, vCluster, and GPU sharing to solve GPU bottlenecks and costs. This enables efficient multi-tenant LLM serving. Developers can deploy AI models more affordably and scalably.