Google Distributed Cloud connected

Extend Google Cloud AI and infrastructure on-premises

Google Distributed Cloud connected is a hardware and software product that connects Google Cloud to your edge environments without compromising on latency or connectivity.

Features

Leading AI capabilities

Gemini is now available on GDC. Gemini’s advanced reasoning and state-of-the-art generation capabilities on GDC unlock key generative AI capabilities, including automation, content generation, discovery, and summarization on-premises.

Google Agentspace search is now available on GDC. This brings Google-quality and faster search experiences for retrieval and analysis of on-premises data sources, and offers a permissions-aware managed RAG experience with a unified search experience across disparate data sources.

Hardware delivery options designed for your needs

Deploy and scale AI-ready infrastructure on-premises: choose between sourcing Google-provided or customer-sourced hardware.

Consistent applications platform: Common tools and processes

Take advantage of Google Cloud services at your data center and edge locations to quickly modernize your apps. Google Distributed Cloud connected 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.

Gain real-time insights from data locally with low latency

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.

Support regulatory and sovereignty requirements

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.

Optimized managed service for network functions and RAN

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

Google Distributed Cloud connected 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.

GDC Edge technical overview video
Google Distributed Cloud connected technical overview

Common Uses

Modern customer experiences with AI

Deliver engaging customer experiences

Join experts and learn how to deploy a modern, fully managed application platform to thousands of locations, run business-critical applications locally, and keep operations running even during times of limited or unstable internet connectivity. Google Cloud offers powerful AI capabilities, including LLMs, NLP, PaLM2, Med-PaLM2 to manage apps at scale, reduce TCO, and improve business outcomes.

    Deliver engaging customer experiences

    Join experts and learn how to deploy a modern, fully managed application platform to thousands of locations, run business-critical applications locally, and keep operations running even during times of limited or unstable internet connectivity. Google Cloud offers powerful AI capabilities, including LLMs, NLP, PaLM2, Med-PaLM2 to manage apps at scale, reduce TCO, and improve business outcomes.

      Meet regulatory and privacy needs

      Store and leverage your data from edge to cloud

      Meeting regulatory and privacy regulations can be difficult, ensuring these measures over multiple countries and changing regulations adds to the complexity. Google Cloud provides you with the independence to store and leverage your data where you need it from edge to cloud, while enabling you to meet security and data privacy for both highly regulated and public sector requirements.

        Store and leverage your data from edge to cloud

        Meeting regulatory and privacy regulations can be difficult, ensuring these measures over multiple countries and changing regulations adds to the complexity. Google Cloud provides you with the independence to store and leverage your data where you need it from edge to cloud, while enabling you to meet security and data privacy for both highly regulated and public sector requirements.

          Optimized network functions

          Creating the foundation for cloud networks

          Google Distributed Cloud connected transforms silos in existing telecom infrastructure models and builds a service-based architecture to run core network functions in the cloud. With an open Kubernetes-based offering tuned for telecom network workloads, network functions (CNFs/VNFs) from network equipment partners leverage cloud-native network automation and are optimized for Google Cloud.

          Creating the foundation for cloud networks

          Google Distributed Cloud connected transforms silos in existing telecom infrastructure models and builds a service-based architecture to run core network functions in the cloud. With an open Kubernetes-based offering tuned for telecom network workloads, network functions (CNFs/VNFs) from network equipment partners leverage cloud-native network automation and are optimized for Google Cloud.

          Radio access networks

          Deploying vRAN and O-RAN at the edge

          CSPs can transform at the far edge of their radio access networks (RAN) for both vRAN and O-RAN deployments. Google Distributed Cloud connected provides CSPs with a common and agile operating model that extends from the core of the network to the edge, for a high degree of programmability, flexibility, and low operating expenses.

          Deploying vRAN and O-RAN at the edge

          CSPs can transform at the far edge of their radio access networks (RAN) for both vRAN and O-RAN deployments. Google Distributed Cloud connected provides CSPs with a common and agile operating model that extends from the core of the network to the edge, for a high degree of programmability, flexibility, and low operating expenses.

          Data processing at the edge

          Removing PII and other sensitive information at the edge

          Using Sensitive Data Protection on the edge provides several benefits to customers operating in heavily regulated environments. Data can be audited, classified, and anonymized on-premises before loading to the cloud. This is achieved with a relatively low level of development effort as customers can leverage 150+ built-in classifiers with the option to extend the model with custom classifiers.
          GDC Edge Data processing at the edge sample architecture

          Removing PII and other sensitive information at the edge

          Using Sensitive Data Protection on the edge provides several benefits to customers operating in heavily regulated environments. Data can be audited, classified, and anonymized on-premises before loading to the cloud. This is achieved with a relatively low level of development effort as customers can leverage 150+ built-in classifiers with the option to extend the model with custom classifiers.
          GDC Edge Data processing at the edge sample architecture

          Camera-based industrial hazard detection

          Leveraging existing CCTV to track hazards in warehouses

          Customers can use existing CCTV infrastructure with Vision AI/ML models to track moving machinery at industrial sites. Deploying GPU-powered Google Distributed Cloud connected on-site can eliminate concerns about connectivity issues, bandwidth cost, and availability. Models can be deployed on the edge for inferencing and trained in the cloud to leverage its power and flexible scalability.
          GDC Edge industrial hazard detection sample architecture

            Leveraging existing CCTV to track hazards in warehouses

            Customers can use existing CCTV infrastructure with Vision AI/ML models to track moving machinery at industrial sites. Deploying GPU-powered Google Distributed Cloud connected on-site can eliminate concerns about connectivity issues, bandwidth cost, and availability. Models can be deployed on the edge for inferencing and trained in the cloud to leverage its power and flexible scalability.
            GDC Edge industrial hazard detection sample architecture

              Modern point-of-sale solutions

              Improve your solutions with a modern infrastructure approach

              Streamline management of VM applications by consolidating your infrastructure’s point-of-sale and back-office services. Windows and Linux VMs can run on top of Kubernetes in the same way as containers, and work with the same management, logging, and monitoring tools in Google Distributed Cloud connected. Service availability is improved as high availability enables VMs to failover gracefully.
              Anthos for VMs

              Improve your solutions with a modern infrastructure approach

              Streamline management of VM applications by consolidating your infrastructure’s point-of-sale and back-office services. Windows and Linux VMs can run on top of Kubernetes in the same way as containers, and work with the same management, logging, and monitoring tools in Google Distributed Cloud connected. Service availability is improved as high availability enables VMs to failover gracefully.
              Anthos for VMs

              Self-checkout solutions

              Improving shopper experience through frictionless checkout

              Using a variety of sensors and cameras, retailers streamline the customer experience by eliminating the need for barcode scanning and enabling contactless checkout. Individual products can be identified with machine learning leveraging Google Distributed Cloud connected. Shoppers enjoy more convenient retail experiences without queues and employees can provide more value away from a cash register.
              GDC Edge retail sample architecture

              Improving shopper experience through frictionless checkout

              Using a variety of sensors and cameras, retailers streamline the customer experience by eliminating the need for barcode scanning and enabling contactless checkout. Individual products can be identified with machine learning leveraging Google Distributed Cloud connected. Shoppers enjoy more convenient retail experiences without queues and employees can provide more value away from a cash register.
              GDC Edge retail sample architecture

              Pricing

              How our pricing worksGoogle Distributed Cloud pricing is based on Google Cloud services, storage, networking, and hardware configurations.
              Services and configurationsDescriptionPrice (USD)

              






              SERVERS

              Choose hardware configuration, starting with 3 nodes


              Starting at

              $165 per node per month

              Five-year commitment is $495/month for 3-node configuration

              Software license for managed Kubernetes, starting with a 3-node configuration

              Starting at

              $7 per vCPU per month

              Five-year commitment is $672/month for 3-node configuration

              Server installation

              $2,300

              One-time fee

              Request a quote from sales for costs based on your requirements.

              How our pricing works

              Google Distributed Cloud pricing is based on Google Cloud services, storage, networking, and hardware configurations.

              






              SERVERS

              Description

              Choose hardware configuration, starting with 3 nodes


              Price (USD)

              Starting at

              $165 per node per month

              Five-year commitment is $495/month for 3-node configuration

              Software license for managed Kubernetes, starting with a 3-node configuration

              Description

              Starting at

              $7 per vCPU per month

              Five-year commitment is $672/month for 3-node configuration

              Server installation

              Description

              $2,300

              One-time fee

              Request a quote from sales for costs based on your requirements.

              Looking for something different?

              Learn more about the full portfolio of Google Distributed Cloud products.

              Discover the possibilities with 5G edge

              Hear from 466 business and tech leaders from around the globe.

              Get Google Distributed Cloud connected

              Connect to a Google Cloud sales specialist

              How Google Distributed Cloud works

              Explore enterprise 5G edge possibilities

              Explore industry use cases for Google Distributed Cloud connected

              Navigating multi-access edge computing

              Partners & Integration

              Work with a partner with Google Distributed Cloud connected expertise.
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              • NVIDIA logo
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              • AT&T logo
              • Dell logo
              • Ericsson logo
              • Intel logo
              • NOKIA logo
              • NVIDIA logo
              • Verizon logo

              Visit our partner directory to learn about these Google Distributed Cloud connected partners.

              FAQ

              Where can I find more videos about Google Distributed Cloud?

              Google Distributed Cloud YouTube playlist has a variety of content about driving data and AI transformation, accelerating cloud-native network adoption, and new monetization models. You can also see demos on our YouTube demo playlist, featuring managed edge hardware and software product configurations for enterprises and public sector to innovate with AI, keep data secure, and modernize with a Kubernetes-based consistent and open developer experience from edge to cloud.

              Access the list of Google Distributed Cloud products available and their specs.

              Google Cloud