Google Distributed Cloud
One platform. Less chaos.
Run VMs, containers and AI models on your infrastructure with a cloud operating model.
Your infrastructure. Cloud operating model. Sovereign control. C-9INE helps banks, government and critical-infrastructure organisations turn Google Distributed Cloud into a secure, production-ready operating platform, covering everything from readiness to capability transfer.
The Problem
Your data centre was not meant to become this complicated.
VMware, Nutanix, Hyper-V, Kubernetes and cloud projects often grow into separate platforms, each with its own skills and operating model.
More platforms did not create simplicity. They created another operating problem.
- 01
Licensing pressure
Renewals, bundles and platform overlap make budgeting harder.
- 02
Platform sprawl
Different stacks create different tools, teams and runbooks.
- 03
Skills fragmentation
Specialists are spread across too many operating models.
- 04
Operational overhead
Security, compliance and lifecycle controls are repeated in each stack.
The Solution
Modernisation should reduce complexity, not move it somewhere else.
Google Distributed Cloud brings a cloud operating model to infrastructure you control, so VMs, containers and AI workloads can move in one strategic direction.
Google Distributed Cloud
The foundation underneath all five
One platform for legacy workloads and modern applications.
The platform experience matters because customers need a controlled path from today's estate to tomorrow's cloud model.
How It Works
From fragmented estates to a single operating model.
A practical path that translates today's infrastructure into repeatable GDC architecture, governance and operations.
- 01
Assess
Inventory platforms, renewal timing, dependencies and workload fit.
- 02
Consolidate
Converge VMs and containers closer to one platform direction.
- 03
Govern
Apply consistent policy, security, IAM and lifecycle controls.
- 04
Operate
Standardise observability, automation and handover practices.
Assess the estate. Consolidate the platform. Govern consistently. Operate with confidence.
What We Standardise
The foundations every GDC programme depends on.
C-9INE helps industrialise the patterns that are too important to rebuild manually, platform by platform.
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VM runtime
Run existing virtual machines under a cloud operating model
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Kubernetes
Standardise container platform operations
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Networking
Repeatable connectivity and segmentation patterns
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IAM & access
Clear roles, permissions and boundaries
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Observability
Logging, monitoring and operational visibility
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Security & compliance
Consistent guardrails and control evidence
Standardisation is what turns infrastructure into a platform.
Customer Outcomes
From infrastructure estate to cloud operating model.
The goal is not another technology island. The goal is a simpler, governed way to run today's workloads while modernising.
- 01
Reduce licensing pressure
Fewer duplicated platform layers.
- 02
Lower operational overhead
One model for VMs, containers and AI models.
- 03
Improve skills leverage
Common patterns across teams.
- 04
Strengthen control
Policy, security and visibility built in.
- 05
Modernise safely
Run today's workloads while building tomorrow's apps.
One platform. Less chaos.
Proof
Live Saudi GDC delivery, not theoretical: national regulators, tier-one commercial banks, and large-scale production rollouts.
Delivered in the region's strictest regulatory environment, under the same Class C certification from Saudi Arabia's CST that qualifies Google Cloud's own Dammam region (me-central2) to host regulated government and financial data.
Regulatory baseline
GDC software-only validated against sovereign data, operational compliance and security expectations, for national financial regulators.
Tier-one commercial bank
Mission-critical legacy applications and microservices coexisting on customer-owned infrastructure, in production.
Large-scale production rollout
Anthos-to-GDC migration path and multi-cluster architecture readiness, delivered at scale.
VM Runtime, in production
Live at Saudi banks today: VMs and containers governed under one operating model, not a lab environment.
Sovereign AI, natively
Gemini or open models like Llama and Gemma run inside the platform, including fully air-gapped, so model inference never has to leave the building.