Ginkgo-AI
Book a Demo Request a Briefing
Home / Deployment
Deployment models

One control plane,
four ways to run it.

Deployment-agnostic by design. The same five-layer control plane and the same governance guarantees — whether you run it in your own data center, your cloud tenancy, or as a managed service.

Four models

Same control plane. Different operating models.

Self-managed

Your infrastructure, your team

Deploy the control plane entirely within your own on-premise or private cloud environment. Full data sovereignty. No external dependency of any kind.

Preinstalled

Ready to run, day one

Pre-configured hardware delivered, installed, and validated in your environment. Air-gap ready. Operational from first boot.

Your cloud tenancy

Cloud deployment

Deploy into your own AWS, Azure, or GCP tenancy. Your data never leaves your environment. You own the tenancy and control the keys.

Fully managed

Managed service

Ginkgo-AI runs and maintains a dedicated control plane instance for you. Dedicated infrastructure, not shared. Full SLA.

At a glance

Compare the models

ModelWhere it runsWho operates itAir-gapData sovereigntyBest for
Self-managedYour infrastructureYour teamYesFullDefense, classified, maximum control
PreinstalledYour facilityYour teamYesFullNo cloud dependency required
Cloud deploymentYour cloud tenancyYour teamConfiguredFull (your tenancy)Cloud-first with existing cloud governance
Managed serviceDedicated hostedGinkgo-AINoDedicated infrastructureNo internal AI ops capability

Not sure which model fits?

We will walk you through the best fit for your regulatory environment, your infrastructure posture, and your operating model.

Book a Demo Request a Briefing