Google has recently announced the launch of its Gemini artificial intelligence models on Google Distributed Cloud (GDC), which is intended for use in enterprise and government data centers. This initiative aims to fill a vital security and connectivity gap for organizations operating within highly regulated sectors, like medical and financial services.
GDC is designed as an on-premises version of Google Cloud, allowing organizations to access Google Cloud services while keeping their data secure within company firewalls instead of relying on the public cloud. The deployment of Gemini within GDC enables companies with stringent data residency and compliance regulations to utilize generative AI technology without sacrificing control over sensitive information.
The GDC infrastructure employs Nvidia’s Hopper and Blackwell GPU accelerators, featuring automated load balancing and zero-touch updates, which ensure high availability. It incorporates robust security features such as audit logging and access control to provide clarity and transparency to clients. Additionally, it offers Confidential Computing capabilities for both CPUs and GPUs to protect critical data against unauthorized access and tampering.
The Gemini models deliver advanced capabilities, including the processing of content and a deep understanding of various types of multimedia—text, images, audio, and video. Google asserts that this functionality opens the door to numerous applications, such as facilitating multilingual collaboration, automating document summarization, powering intelligent chatbots, and assisting in code generation.
As of now, Google Gemini for GDC is available for organizations to implement.
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