Google Distributed Cloud

Deliver modern experiences at the edge: Google AI, security, and open source

Build, deploy, and scale modern industry and public sector applications on-premises with AI ready modern infrastructure, ensure data security, and enable agile developer workflows across edge locations and data centers.

Overview

Innovate faster with AI

Use Google Distributed Cloud 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 our product, 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, supports 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 with Google Distributed Cloud. Leverage Google's AI, security, and open ecosystem to innovate faster, deliver better experiences, improve growth, and optimize operations. Securely store your 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 portfolio

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 the 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 Hosted: 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 the 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 Hosted: 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 check-out, and predictive analytics adds to the complexity.

      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 check-out, and predictive analytics adds to the complexity.

      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

      Transform telecommunications

      Digitally transform from IT to networks with the latest AI

      Modernizing and monetizing workflows for communication service providers (CSPs) can be a daunting and expensive task. In the 5G era, CSPs are likely to focus on activating data and analytics with the power of AI and ML. They need a common operating model to manage networks running across premises-based and cloud environments—from the core out to the edge. Google Distributed Cloud offers that flexibility while optimizing deployment and operating costs—both essential for 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 communication service providers (CSPs) can be a daunting and expensive task. In the 5G era, CSPs are likely to focus on activating data and analytics with the power of AI and ML. They need a common operating model to manage networks running across premises-based and cloud environments—from the core out to the edge. Google Distributed Cloud offers that flexibility while optimizing deployment and operating costs—both essential for 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?

          Connect with Google Distributed Cloud Sales

          Resources to learn more about our product

          Partners & Integration

          Google Distributed Cloud Partners
          • AT&T logo
          • Casa Systems logo
          • Cisco logo
          • Dell Technologies logo
          • elastic logo
          • Ericsson logo
          • Hewlett Packard Enterprise logo
          • Intel Logo
          • MongoDB logo
          • NetApp logo
          • Nokia logo
          • Nvidia logo
          • OVHcloud logo
          • Paloalto Networks logo
          • Proximus logo
          • T Systems logo
          • Thales logo
          • Verizon logo
          • AT&T logo
          • Casa Systems logo
          • Cisco logo
          • Dell Technologies logo
          • elastic logo
          • Ericsson logo
          • Hewlett Packard Enterprise logo
          • Intel Logo
          • MongoDB logo
          • NetApp logo
          • Nokia logo
          • Nvidia logo
          • OVHcloud logo
          • Paloalto Networks logo
          • Proximus logo
          • T Systems logo
          • Thales logo
          • Verizon logo

          Visit our partner directory to learn about these Google Distributed Cloud 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. Learn more about our managed edge hardware and software product for enterprises and public sector to innovate with AI, keep data secure and independent, and modernize with Kubernetes-based consistent and open developer experience from edge to cloud.

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