Google has taken a major step in enterprise AI by announcing that Gemini is now available anywhere—including your on-premises data centers via Google Distributed Cloud (GDC). After months of previews, Gemini on GDC is now generally available (GA) for air-gapped environments, with an ongoing preview for connected deployments.
Why This Matters — AI, Sovereignty, No Compromise
For organizations operating under stringent data governance, compliance rules, or data sovereignty requirements, Gemini on GDC lets you deploy Google's most capable AI models—like Gemini 2.5 Flash or Pro—directly within your secure infrastructure. Now, there's no longer a trade-off between AI innovation and enterprise control.
Key capabilities unlocked for on-prem deployments include:
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Multimodal reasoning across text, images, audio, and video
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Automated intelligence for insights, summarization, and analysis
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AI-enhanced productivity—from code generation to virtual agents
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Embedded safety features, like content filters and policy enforcement
Enterprise-Grade Infrastructure & Security Stack
Google’s solution is more than just AI—we're talking enterprise-ready infrastructure:
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High-performance GPU clusters, built on NVIDIA Hopper and Blackwell hardware
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Zero-touch managed endpoints, complete with auto-scaling and L7 load balancing
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Full audit logs, access control, and Confidential Computing for both CPU (Intel TDX) and GPU
Together, these foundations support secure, compliant, and scalable AI across air-gapped or hybrid environments.
Customer Endorsements — Early Adoption & Trust
Several government and enterprise organizations are already leveraging Gemini on GDC:
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GovTech Singapore (CSIT) appreciates the combo of generative AI and compliance controls
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HTX (Home Team Science & Technology) credits the deployment framework for bridging their AI roadmap with sovereign data
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KDDI (Japan) and Liquid C2 similarly highlight the AI-local, governance-first advantage
Getting Started & What it Enables
Actions you can take today:
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Request a strategy session via Google Cloud to plan deployment architecture
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Access Gemini 2.5 Flash/Pro endpoints as managed services inside your infrastructure
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Build enterprise AI agents over on-prem data with Vertex AI APIs
Use cases include:
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Secure document summarization or sentiment analysis on internal or classified datasets
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Intelligent chatbots and virtual agents that stay within corporate networks
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AI-powered CI/CD workflows—code generation, testing, bug triage—all without calling home
Final Takeaway
With Gemini now available anywhere, Google is giving organizations the power to scale AI ambition without sacrificing security or compliance. This move removes a long-standing blocker for enterprise and public-sector AI adoption. Whether you’re a government agency, regulated financial group, or global manufacturer, deploying AI inside your walls is no longer hypothetical—it’s fully real and ready.
Want help evaluating on-prem AI options or building trusted agentic workflows? I’d love to walk you through the integration path with Vertex AI and GDC.
