Features

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.
Learn more about delivering modern customer experiences from the experts at Google Cloud, Deloitte, Orange, and Kroger

    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.
    Learn more about delivering modern customer experiences from the experts at Google Cloud, Deloitte, Orange, and Kroger

      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.
      Learn more about meeting multicountry regulatory requirements at the edge

        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.
        Learn more about meeting multicountry regulatory requirements at the edge

          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.
          Learn more in Google Distributed Cloud's telecom podcast

          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.
          Learn more in Google Distributed Cloud's telecom podcast

          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.
          Learn more about our cloud-native RAN strategy

          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.
          Learn more about our cloud-native RAN strategy

          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.
          Learn about modern manufacturing insights from 100+ tech and business leaders across the globe
          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.
          Learn about modern manufacturing insights from 100+ tech and business leaders across the globe
          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 racks 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.
          Learn how to manage GPU workloads on Google Distributed Cloud connected
          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 racks 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.
            Learn how to manage GPU workloads on Google Distributed Cloud connected
            GDC Edge industrial hazard detection sample architecture

              Modern point-of-sale solutions

              Improve your solutions with a modern infrastructure approach

              Consolidate your infrastructure to streamline management of VM applications, such as 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.
              Learn more about leveraging Google Distributed Cloud connected to run VMs at the edge
              Anthos for VMs

              Improve your solutions with a modern infrastructure approach

              Consolidate your infrastructure to streamline management of VM applications, such as 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.
              Learn more about leveraging Google Distributed Cloud connected to run VMs at the edge
              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 shopping experiences without queues and employees can provide more value away from a cash register.
              Check out new AI tools for retail
              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 shopping experiences without queues and employees can provide more value away from a cash register.
              Check out new AI tools for retail
              GDC Edge retail sample architecture

              Pricing

              Google Distributed Cloud connected pricingGoogle Distributed Cloud pricing is a single monthly fee for hardware lease and software licenses based on hardware configuration and time commitment.
              Service usage and typeDescriptionPrice (USD)

              Google Distributed Cloud connected (rack)

              Configuration 1

              Three-year commitment


              Starting at $10,864 per rack per month

              Configuration 2

              Three-year commitment


              Starting at $12,513 per rack per month

              View Google Distributed Cloud connected pricing details.

              Google Distributed Cloud connected pricing

              Google Distributed Cloud pricing is a single monthly fee for hardware lease and software licenses based on hardware configuration and time commitment.

              Google Distributed Cloud connected (rack)

              Description

              Configuration 1

              Three-year commitment


              Price (USD)

              Starting at $10,864 per rack per month

              Configuration 2

              Three-year commitment


              Description

              Starting at $12,513 per rack per month

              View Google Distributed Cloud connected pricing details.

              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 started with Google Distributed Cloud connected

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

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