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
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.
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.
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 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.
Common Uses
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.
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.
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.
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.
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.
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.
Modernizing and monetizing workflows for 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.
Modernizing and monetizing workflows for 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.
Partners & Integration
Visit our partner directory to learn about these Google Distributed Cloud partners.
FAQ
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.