Google Distributed Cloud

Bring Google Cloud to your on-premises location

Google Distributed Cloud (GDC) is a portfolio of hardware and software solutions that brings Google Cloud into your data centers or other locations of your choice. GDC is designed for customers with sovereignty, regulatory compliance, and low-latency requirements.

Overview

Innovate faster with AI

Use Google Distributed Cloud (GDC) to innovate faster with enterprise ready-generative AI. Building applications with the latest in AI innovations can be challenging and scaling AI across multiple edge locations adds to the complexity.

With GDC, you can build and train AI models on Google Cloud using selected Vertex AI services and deploy and run locally at the edge. Leverage ready-to-use Google Cloud products, such as Dataproc and AlloyDB as the building blocks for your custom-built solution.

Run modern applications in an open and consistent environment

Build modern apps everywhere in a uniform developer environment from cloud to edge. Google Distributed Cloud enables your team to build, deploy, and scale with a Kubernetes-based developer workflow and leverage an active ecosystem of partners.

Address data residency and operational sovereignty needs

Google Distributed Cloud comes with an air-gapped option, coupled with a partner-operated model, to support public sector and regulated industries to meet the strictest sovereignty regulations, including ensuring data residency, control of operational staffing, and limiting impacts of jurisdictional challenges.

Scale anywhere with cloud-native agility

Scale from one to thousands of locations with flexible hardware and software options for your business. Google Distributed Cloud equips your team with fully managed software to quickly adapt and respond to the latest customer requirement and market changes.

How It Works

Drive modern business use cases that leverage Google's AI, security, and an open ecosystem for better experiences, improved growth, and optimized operations. Securely store data where you need it and run modern apps anywhere with Kubernetes-based flexible scaling for thousands of edge locations.

Technical overview
Google Distributed Cloud

Common Uses

Build apps with an air-gapped option

Full isolation with no connectivity to the public internet

Safeguard sensitive data and adhere to strict regulations with Google Distributed Cloud's air-gapped option. The solution does not require connectivity to Google Cloud or the public internet to manage infrastructure, services, APIs, or tooling, and is built to remain disconnected in perpetuity. Our product's open architecture creates familiarity across both public and air-gapped private clouds.

Learn more about our air-gapped solutions
Watch "Google Distributed Cloud: An air-gapped cloud solution"

    Full isolation with no connectivity to the public internet

    Safeguard sensitive data and adhere to strict regulations with Google Distributed Cloud's air-gapped option. The solution does not require connectivity to Google Cloud or the public internet to manage infrastructure, services, APIs, or tooling, and is built to remain disconnected in perpetuity. Our product's open architecture creates familiarity across both public and air-gapped private clouds.

    Learn more about our air-gapped solutions
    Watch "Google Distributed Cloud: An air-gapped cloud solution"

      Enable modern retail experiences

      Deliver modern store use cases to thousands of locations

      Building, deploying, and scaling software for thousands of clusters and locations can be challenging. With Google Distributed Cloud, you can build, deploy, and scale configurations from a single to thousands of retail locations to support use cases like store analytics, fast checkout, and predictive analytics.

      Learn more about the key insights driving retail at the edge
      A deeper look into retail use cases with Google Distributed Cloud

      Deliver modern store use cases to thousands of locations

      Building, deploying, and scaling software for thousands of clusters and locations can be challenging. With Google Distributed Cloud, you can build, deploy, and scale configurations from a single to thousands of retail locations to support use cases like store analytics, fast checkout, and predictive analytics.

      Learn more about the key insights driving retail at the edge
      A deeper look into retail use cases with Google Distributed Cloud

      Implement modern manufacturing outcomes

      Optimize from factory process to customer expectations

      Modernizing factory operations with legacy solutions can be difficult. With Google Distributed Cloud, you can enable modern industrial outcomes, such as process optimization, security and asset protection, visual inspection, and assisted workforce across the factory floor, while delivering improved customer experiences, such as predictable delivery lead times and real time updates.

      Learn more about the key insights driving manufacturing at the edge
      Manufacturing use cases

      Optimize from factory process to customer expectations

      Modernizing factory operations with legacy solutions can be difficult. With Google Distributed Cloud, you can enable modern industrial outcomes, such as process optimization, security and asset protection, visual inspection, and assisted workforce across the factory floor, while delivering improved customer experiences, such as predictable delivery lead times and real time updates.

      Learn more about the key insights driving manufacturing at the edge
      Manufacturing use cases

      Interactive demos and videos

      In this interactive demo created in collaboration with Google Cloud partner ClearObject, you can experience real-time anomaly detection on the factory floor solution, built with GDC connected and ClearVision for manufacturing.

      Transform telecommunications

      Digitally transform from IT to networks with the latest AI

      Modernizing and monetizing workflows for cloud solution providers (CSPs) can be an expensive task. In the 5G era, CSPs focus on activating data and analytics with AI and ML. A common operating model is needed to manage networks running across premises-based and cloud environments—from the core to the edge. Google offers that flexibility to optimize deployment and operating costs—both essential to monetizing 5G investments.

      Learn more about the best practices for monetizing cloud-based technology and 5G networks
      Watch the Google Cloud Innovators Live session on telecommunications

        Digitally transform from IT to networks with the latest AI

        Modernizing and monetizing workflows for cloud solution providers (CSPs) can be an expensive task. In the 5G era, CSPs focus on activating data and analytics with AI and ML. A common operating model is needed to manage networks running across premises-based and cloud environments—from the core to the edge. Google offers that flexibility to optimize deployment and operating costs—both essential to monetizing 5G investments.

        Learn more about the best practices for monetizing cloud-based technology and 5G networks
        Watch the Google Cloud Innovators Live session on telecommunications

          Need help getting started?

          Contact Google Distributed Cloud sales

          Resources to learn more about our product

          Partners & Integration

          Google Distributed Cloud partners
          • GroupBy logo
          • Canonical logo
          • CIQ logo
          • Cisco logo
          • Citrix logo
          • Clarence logo
          • ClearObject logo
          • CockroachDB logo
          • Confluent logo
          • Crowdstrike logo
          • Dell Technologies logo
          • Dynatrace logo
          • Elastic logo
          • Ericsson logo
          • GitLab logo
          • Grafana Labs logo
          • Gulf logo
          • HashiCorp logo
          • Hewlett Packard Enterprise logo
          • Intel logo
          • IS Decisions logo
          • Leela AI logo
          • MariaDB logo
          • MongoDB logo
          • Neo4j logo
          • NetApp logo
          • Nokia logo
          • Nvidia logo
          • Palo Alto Networks logo
          • Redis logo
          • Splunk logo
          • SAP logo
          • StandardAI logo
          • Starburst logo
          • Synasta logo
          • T Systems logo
          • Tenable logo
          • Thales logo
          • Trellix logo
          • Verizon logo
          • World Wide Technology logo
          • GroupBy logo
          • Canonical logo
          • CIQ logo
          • Cisco logo
          • Citrix logo
          • Clarence logo
          • ClearObject logo
          • CockroachDB logo
          • Confluent logo
          • Crowdstrike logo
          • Dell Technologies logo
          • Dynatrace logo
          • Elastic logo
          • Ericsson logo
          • GitLab logo
          • Grafana Labs logo
          • Gulf logo
          • HashiCorp logo
          • Hewlett Packard Enterprise logo
          • Intel logo
          • IS Decisions logo
          • Leela AI logo
          • MariaDB logo
          • MongoDB logo
          • Neo4j logo
          • NetApp logo
          • Nokia logo
          • Nvidia logo
          • Palo Alto Networks logo
          • Redis logo
          • Splunk logo
          • SAP logo
          • StandardAI logo
          • Starburst logo
          • Synasta logo
          • T Systems logo
          • Tenable logo
          • Thales logo
          • Trellix logo
          • Verizon logo
          • World Wide Technology logo
          • Canonical
          • CIQ logo
          • Elastic logo
          • MongoDB logo
          • Palo Alto Networks logo
          • Starburst logo
          • Clarence logo
          • Gulf logo
          • T Systems logo
          • World Wide Technology logo
          • Citrix logo
          • ClearObject logo
          • CockroachDB logo
          • Confluent logo
          • Couchbase logo
          • Crowdstrike logo
          • Dynatrace logo
          • Ericsson logo
          • GitLab logo
          • Grafana Labs logo
          • HashiCorp logo
          • IS Decisions logo
          • Leela AI logo
          • MariaDB logo
          • Neo4j logo
          • Nokia logo
          • Redis logo
          • SAP logo
          • Splunk logo
          • Standard AI logo
          • Syntasa logo
          • Tenable logo
          • Trellix logo
          • Cisco logo
          • Dell logo
          • HPE logo
          • Intel logo
          • NetApp logo
          • Nvidia logo
          • Palo Alto Networks logo
          • Thales logo

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

          FAQ

          What is a Google Cloud Ready partner and how does my company become one?

          The Google Cloud Ready - Distributed Cloud validation recognizes partner solutions that have met a core set of functional and interoperability requirements. Through the process, partners closely collaborate with Google to provide new integrations to best support customer use cases. Learn more in the Google Cloud Ready - Distributed Cloud Partner Validation Guide.

          The Managed GDC Providers (MGP) is a strategic partnership initiative by Google Cloud Partner Advantage program designed to accelerate Google Distributed Cloud adoption by collaborating with specialized partners who are skilled in deploying, operating, and managing services. These MGPs form a comprehensive ecosystem, providing end-to-end Google Distributed Cloud solutions, including top-tier support and robust data security. By offering Google Distributed Cloud as a managed service, MGPs empower businesses to scale efficiently while maintaining high service quality.

          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. Learn more about our managed edge hardware and software product configurations for enterprises and public sector to innovate with AI, keep data secure and independent, and modernize with a Kubernetes-based consistent and open developer experience from edge to cloud.

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