Google LLC today announced the general availability of its Gemini artificial intelligence models on Google Distributed Cloud, extending its most advanced AI capabilities into enterprise and government data centers.

The launch, which sees Gemini now available on GDC in an air-gapped configuration and in preview on GDC onnected, allows organizations with strict data residency and compliance requirements to deploy generative AI without sacrificing control over sensitive information.

With the release and by bringing models on-premises, Google is addressing a longstanding issue faced by regulated industries: a choice between adopting modern AI tools or maintaining full sovereignty over their data.

Early adopters include Singapore’s Centre for Strategic Infocomm Technologies, GovTech Singapore, Singapore’s Home Team Science and Technology Agency, Japanese telecom provider KDDI Corp. and Liquid C2 LLC. According to Google, the organizations cite the ability to innovate securely with AI while meeting local compliance standards as a key benefit.

The integration provides access to Gemini’s multimodal capabilities, including text, images, audio and video. Google says that unlocks a range of use cases, including multilingual collaboration, automated document summarization, intelligent chatbots and AI-assisted code generation.

The release also includes built-in safety tools that allow enterprises to improve compliance, detect harmful content and enforce policy adherence. Google argues that delivering these capabilities securely requires more than just models, positioning GDC as a full AI platform that combines infrastructure, model libraries and prebuilt agents such as the preview of Agentspace search.

Under the hood, GDC makes use of Nvidia Corp.’s Hopper and Blackwell graphics processing units, paired with automated load balancing and zero-touch updates for high availability. Confidential computing is supported on both central processing units and GPUs, ensuring that sensitive data is encrypted even during processing. Customers also gain audit logging and granular access controls for end-to-end visibility of their AI workloads.

Along with Gemini 2.5 Flash and Pro, the platform supports Vertex AI’s task-specific models and Google’s open-source Gemma family. Enterprises can also deploy their own open-source or proprietary models on managed virtual machines and Kubernetes clusters as part of a unified environment.

Early users have been pleased with the offering, according to Google, which quotes Ang Chee Wee, chief AI officer at Singapore’s Home Team Science & Technology Agency, as saying, “The ability to deploy Gemini on Google Distributed Cloud will allow us to bridge the gap between our on-premises data and the latest advancements in AI. Google Distributed Cloud gives us a secure, managed platform to innovate with AI, without compromising our strict data residency and compliance requirements.”

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