State of AI Infrastructure: Hybrid Cloud and Google Distributed Cloud

A new survey from the State of AI Infrastructure report, covering over 1,400 senior IT leaders, reveals that 48% are prioritizing infrastructure with data residency and compliance controls, while 52% now use a hybrid cloud approach for AI.

These organizations face three major risks: jurisdictional, economic independence, and geopolitical.

The report argues that hybrid cloud (on-premises plus multicloud) lets enterprises balance public cloud power with sovereignty needs.

Google Distributed Cloud (GDC) is presented as a solution that brings Google Cloud into on-premises or edge environments.

GDC comes in two deployment models: air-gapped (fully disconnected, no remote shutdown possible) and connected (Google-managed lifecycle on existing hardware).

It offers a complete on-premises AI stack including optimized infrastructure, Gemini or open models, and cost-effective inference, enabling secure AI agents while keeping data under the customer’s control.

The key message is that organizations no longer must choose between data control and AI innovation.

State of AI infrastructure report on hybrid cloud and GDC

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