Get the most out of every dollar you spend on Google Cloud across AI, machine learning, and enterprise workloads. This session covers cost-optimization strategies and capabilities for Compute Engine, Cloud Run, Gemini Enterprise Agent Platform, Autopilot in Google Kubernetes Engine (GKE), and more. We’ll unpack the nuances of committed use discounts (CUDs) and compare them against flexible options like Spot VMs. Learn how to use the new Dynamic Workload Scheduler (DWS) to optimize AI training costs on Gemini Enterprise Agent Platform and GKE. Whether you’re running batch jobs or always-on services, learn the precise configuration settings to optimize your cloud spend without sacrificing performance.