Google Distributed Cloud for sovereign AI workloads
Google Distributed Cloud (GDC) is introduced to address the challenge of deploying AI while maintaining data sovereignty and compliance. GDC allows enterprises to run AI workloads on-premises, either in an air-gapped or connected model, enabling them to balance public cloud innovation with local data control. This aims to meet the needs of organizations with strict jurisdictional, economic, and geopolitical risks associated with data handling.
- →Introducing Google Distributed Cloud (GDC)
- →GDC deployment models for AI workloads
- →On-premises AI solution with model choice
- →Addressing data sovereignty challenges in AI adoption
Features (3) ›
- Introducing Google Distributed Cloud (GDC)
Google Distributed Cloud is presented as a solution that brings Google Cloud capabilities to on-premises environments. GDC aims to bridge the gap between public cloud power and local data control, enabling organizations to deploy AI workloads without compromising data sovereignty.
- GDC deployment models for AI workloads
GDC is offered in two deployment models to meet AI workload sovereignty requirements: Air-gapped for fully disconnected environments and Connected for integrated, Google-managed software lifecycle on existing hardware.
- On-premises AI solution with model choice
GDC provides a complete on-premises AI solution featuring infrastructure optimized for AI workloads, a choice of Gemini or open models, and cost-effective inference services, empowering users to build secure AI agents while maintaining data control.
Notes (1) ›
- Addressing data sovereignty challenges in AI adoption
Enterprises and governments with strict compliance needs often face a trade-off between keeping data on-premises for control and accessing advanced AI innovations. This challenge is compounded by jurisdictional, economic, and geopolitical risks, leading many to prioritize infrastructure with data residency and local security law support.
https://cloud.google.com/blog/topics/hybrid-cloud/state-of-ai-infrastructure-report-on-hybrid-cloud-and-gdc/
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