Google Distributed Cloud
Why Google Distributed Cloud
Not All Workloads Can Use Public Cloud
Regulatory Compliance
For highly sensitive or regulated information, or when air-gapped sovereignty is required.
Network Survivability
When the processing needs to continue even if the connection is down
Bandwidth
When data is high-volume, noisy, costly or time consuming to be sent elsewhere
Real Time Processing
Critical decisions demand speed—processing must happen locally within narrow windows of opportunity.
Introducing Google Distributed Cloud
Analyze sensitive datasets
Document and speech processing
Video and Vision based AI
Sensitive trainings and simulations
Predictive maintenance
Forecasting and demand planning
Disconnected fleet management
Driving Generative AI anywhere…
A New Way to Cloud with Google Distributed Cloud
Google Distributed Cloud Product Family
The Google distributed cloud strategy embraces the reality that companies will run in multiple clouds, have hybrid applications, and need some workloads with sovereign providers
Connected Edge for Modern Workloads
A fully-managed hardware and software solution built for low latency and hybrid cloud needs. Ideal for industries like retail, manufacturing, and finance, it provides centralized management, AI-ready edge infrastructure, and seamless deployment with GitOps control.
Flexible Software for Any Infrastructure
Deploy Google Cloud’s capabilities on your existing hardware—anywhere. This software-only approach enables global fleet management with full visibility, telemetry, and policy enforcement through a unified cloud-based console.
Isolated Solutions for Maximum Security
A fully air-gapped deployment managed by Google or a trusted partner. Designed for high-security environments, it includes integrated AI and database services, supports open-source frameworks, and meets the strictest compliance and sovereignty requirements.
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