Google's fully managed hardware and software product that delivers modern applications equipped with AI, security, and open source at the edge.
Take advantage of Google Cloud services at your data center and edge locations to quickly modernize your apps. Google Distributed Cloud Edge uses a cloud-backed control plane that provides a consistent management experience at scale. Leverage common tools, policies, and processes that you use in the cloud for mission-critical use cases running on the edge such as computer vision and Google AI edge inferencing.
We offer a range of hardware options that allow you to right-size the infrastructure for your solution. Choose between a 1U appliance to multi-server single-rack to multi-rack options. Optimize your TCO by focusing on your applications and let Google Cloud take care of supplying and managing the infrastructure you need to run your workloads on the edge.
Use the power of Google’s AI, data analytics, and databases solutions to uncover insights and remove traditional constraints of scale, performance, and cost when you're processing data, no matter where that data is generated. Bring only insights and value-added data to the regional cloud without uploading low-value data from your edge cloud.
Maintain autonomy and control over your infrastructure and data while adhering to strict sovereignty, data security, and privacy requirements. Remove any PII and other sensitive information at the edge while still leveraging regional clouds for any data in highly regulated verticals.
We offer customized hardware that leverages our optimized data plane for high throughput packet processing to enable telecom use cases, including 5G core network functions and virtual radio access network (vRAN) functions. Communication service providers (CSPs) can run these functions at the edge while maintaining an open architecture that does not lock them into proprietary technology.
How It Works
GDC Edge is a portfolio of fully managed hardware and software solutions that extend Google Cloud’s infrastructure and services to the edge and data centers. It is ideal for running local data processing, low latency edge workloads, and modernizing telecom networks.