Today, we’re announcing Google Cloud Modernize , an end-to-end transformation portfolio to help enterprises collapse multi-year roadmaps with the power of AI.

Google Cloud Modernize brings together Google Cloud’s proven migration and modernization tools, including Migration Center, Google Cloud VMware Engine, Google Cloud Mainframe Modernization and our new EKS-to-GKE Migration Agent , into a single portfolio. With it, enterprise teams now have purpose-built agentic capabilities across infrastructure assessment, platform modernization, and application modernization.

Central to this portfolio is Modernization Hub , a newly launched in-console experience where developers and architects can analyze source code, map dependencies, and accelerate modernization for Java, .NET, and mainframe applications.

Every transformation begins with an accurate assessment. With new Gemini capabilities in Migration Center , the Agentic Quick Estimator (GA) converts VMware inventory exports (such as RVTools) and infrastructure inputs into total cost of ownership (TCO) projections for your Compute Engine environment.

Using an interactive chat interface, teams can test real-time modeling assumptions, such as evaluating multi-region footprints or comparing BYOL licensing against pay-as-you-go, to discover contextual cost optimizations. This condenses weeks of spreadsheet modeling into a defensible business case in minutes.

For specialized support, we also provide a comprehensive modernization assessment at no cost through our Rapid Migration & Modernization Program (RaMP) .

With the rise of real-time AI agents querying backend systems, workloads increasingly require high-throughput infrastructure that removes I/O bottlenecks. Once you’ve defined your target environment using our assessments, there are several new purpose-built compute options for mission-critical workloads:

SAP S/4HANA at scale ( X5 Series , GA): Delivers single-node 43 TiB memory configurations that remove the previous 29 TiB ceiling, allowing enterprise ERP estates to run without distributed partitioning overhead.

Editorial analysis conducted by the FreeSky Cloud desk indicates that the circumstances surrounding "Introducing Google Cloud Modernize, transforming for (and with) AI" reflect broader industry-wide shifts across Cloud Architecture. Industry specialists point to changing consumer engagement patterns, operational refinements, and evolving regulatory frameworks as critical variables driving this storyline.

Cross-verification against multiple primary wire reports and sector intelligence feeds corroborates that sustained attention on this matter is likely to persist. Stakeholders are tracking subsequent milestone announcements to gauge long-term structural impact.

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