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Digital sovereignty in the age of AI: You don’t have to choose between control and innovation
This article explores how enterprises and governments can maintain digital sovereignty while adopting AI using hybrid cloud strategies. It highlights Google Distributed Cloud (GDC) as a way to balance data control with innovation.
Why it matters
Regulated organizations can adopt AI without moving sensitive data to public clouds, ensuring compliance with local laws and reducing jurisdictional risks.
The details
- 48% of surveyed IT leaders prioritize infrastructure supporting data residency and local security.
- 52% of organizations currently use a hybrid cloud approach for AI.
- Google Distributed Cloud provides both air-gapped and connected deployment models.
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In this article
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Key connections
Google owns Gemini Enterprise Business Edition
Google offers Gemini Enterprise Business Edition for workplace AI integration.
Google Distributed Cloud is related to Google Cloud
Google Distributed Cloud extends Google Cloud services to on-premises and edge locations.
Google Distributed Cloud uses Gemini
Google Distributed Cloud supports on-premises deployment and inference of Gemini models.
Google Distributed Cloud is built with Hybrid Cloud
Google Distributed Cloud provides hybrid cloud infrastructure capabilities.
Google Distributed Cloud is built with Multicloud
Google Distributed Cloud supports multicloud architecture strategies.
Google Distributed Cloud uses Sovereign AI
Google Distributed Cloud enables sovereign AI workloads with air-gapped and connected deployment models.
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Google owns Google Distributed Cloud
Google Distributed Cloud is Google's hybrid and sovereign cloud solution.
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