A survey of over 1,400 senior IT leaders found that 48% prioritize infrastructure with data residency controls, and 52% of organizations now use a hybrid cloud approach to AI. Google Distributed Cloud (GDC) is presented as a solution for regulated industries and governments needing on-premises AI without sacrificing access to modern capabilities. GDC offers two deployment models: air-gapped (fully disconnected, cannot be remotely shut down by Google) and connected (Google-managed software lifecycle on existing hardware). It includes AI infrastructure optimized for AI workloads, Gemini or open model choices, and inference services.
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Meet your sovereign AI needs on-premisesQuestions this post answers
What are the two deployment models for Google Distributed Cloud (GDC)?
GDC offers an air-gapped model and a connected model. The air-gapped model is fully disconnected from Google Cloud and the public internet and cannot be remotely shut down by Google. The connected model is a Google-managed software lifecycle that runs directly on existing customer hardware, maintaining integration with Google Cloud services while keeping workloads on-premises. Teams evaluating sovereign AI infrastructure options track GDC and competing solutions on daily.dev.
What percentage of organizations use a hybrid cloud approach to AI according to Google's State of AI Infrastructure report?
52% of organizations now have a hybrid cloud approach to AI, according to a survey of over 1,400 senior IT leaders. The same survey found that 48% of leaders are prioritizing infrastructure with data residency controls and local data security law compliance, reflecting growing concern over jurisdictional, economic, and geopolitical risks. Architects deciding between public cloud and hybrid AI deployments follow infrastructure research like this on daily.dev.