Google Distributed Cloud
Modern experiences at the edge: AI, security, and open source
Build, deploy, and scale modern industry and public sector applications on-premises with AI ready infrastructure to ensure data security and enable agile developer workflows.
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 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.
The partnership between Google and Intel has produced a combined solution that embodies a great level of business value for performing AI inference and analytics at the edge. It centers on the Google Distributed Cloud, which uses a cloud-backed control plane that provides a consistent management experience at scale. Learn more in Optimizing Edge Environments for AI Inference.
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.
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.
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.
How-tos
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.
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.
How-tos
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.
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.
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.
How-tos
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.
Additional resources
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.
How-tos
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.
Need help getting started?
Contact Google Distributed Cloud sales
Resources to learn more about our product
Using AI and edge infrastructure to analyze data
Build cloud-native apps with AI and Kubernetes
Google Public Sector and World Wide Technology
Partners & Integration
Google Distributed Cloud partners
Google Cloud Ready partners
Managed Google Distributed Cloud providers
Build partners
Hardware partners
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.
What is a Managed Google Distributed Cloud provider and how does my company become one?
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.
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 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.