To optimize costs for Google Cloud VMware Engine, see the following suggestions:
VMware Engine consumption costs vary per region.
Note that VMware Engine nodes that use a reduced core count are
priced the same as full compute nodes.
Oversubscribing VMware Engine compute capacity is a standard
practice and doesn't incur additional charges.
A higher oversubscription ratio might help you decrease the number of
effective billable nodes in the environment, but can affect application
performance. When sizing enterprise workloads, begin with a 4:1 ratio, and
modify it based on other factors applicable to your use case.
Follow the guidance provided in the following resources:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Costing best practices\n======================\n\nThis page presents best practices to optimize costs for Google Cloud VMware Engine.\n| **Note:** For the latest pricing information, see [Google Cloud VMware Engine pricing](/vmware-engine/pricing).\n\nYou can view and download pricing information from the\n[pricing table](/billing/docs/how-to/pricing-table), and access [SKU information](/skus)\nwith the [Cloud Billing Catalog API](/billing/v1/how-tos/catalog-api).\n\nOptimize costs\n--------------\n\nTo optimize costs for Google Cloud VMware Engine, see the following suggestions:\n\n- VMware Engine consumption costs vary per region.\n- Note that VMware Engine nodes that use a reduced core count are priced the same as full compute nodes.\n- Oversubscribing VMware Engine compute capacity is a standard practice and doesn't incur additional charges. A higher oversubscription ratio might help you decrease the number of effective billable nodes in the environment, but can affect application performance. When sizing enterprise workloads, begin with a 4:1 ratio, and modify it based on other factors applicable to your use case.\n- Follow the guidance provided in the following resources:\n\n - For a holistic framework on driving financial accountability and business value realization, refer to the [Maximize business value with cloud FinOps](/resources/cloud-finops-whitepaper) whitepaper.\n - For additional guidance on tools and cost optimization best practices, study the [principles of cloud cost optimization](https://cloud.google.com/blog/topics/cost-management/principles-of-cloud-cost-optimization).\n - For more costing recommendations, read [Optimize the cost of your Google Cloud VMware Engine deployments](https://cloud.google.com/blog/topics/cost-management/cost-optimization-of-google-cloud-vmware-engine-deployments).\n\nWhat's next\n-----------\n\n- Read about best practices for [compute](/vmware-engine/docs/best-practices-compute), [networking](/vmware-engine/docs/best-practices-networking), [security](/vmware-engine/docs/best-practices-security), [storage](/vmware-engine/docs/best-practices-storage), and [migration](/vmware-engine/docs/best-practices-migration).\n- Try out VMware Engine. Visit [features, benefits, and use\n cases](/vmware-engine/docs/overview) for more information.\n- Explore reference architectures, diagrams, tutorials, and best practices about Google Cloud. Visit [Cloud Architecture Center](/architecture) for more information."]]
