Documentation

Deployment Models

Compare sovereign AI deployment models and choose the right security boundary for your organization.

01

Sovereign AI

Sovereign AI means your organization retains control over data, models, infrastructure, and operational policies. GoAI is designed so regulated teams can deploy GenAI without routing sensitive workloads through public AI APIs.

This approach supports procurement, security review, and long-term operational ownership — especially for banking, telecom, government, and critical infrastructure.

02

Data Residency

Each deployment model defines where documents, embeddings, prompts, responses, and audit logs reside. On-prem and air-gapped options keep data inside the client perimeter.

Private cloud deployments use dedicated infrastructure with no public AI API dependency, supporting regional residency and internal network policies.

03

Security Boundaries

Security boundaries include network isolation, identity controls, model routing policies, and logging. Air-gapped deployments enforce the strictest boundary; hybrid models allow phased migration with explicit policy gates.

Every model includes API gateway controls, RBAC, and observability hooks so security teams can review and monitor AI operations.

04

Deployment Flexibility

Organizations often start with a controlled pilot — hybrid or private cloud — before moving to full on-prem sovereignty. GoAI supports that transition path without rebuilding applications.

Work with our team to map deployment models to your connectivity, GPU capacity, compliance requirements, and timeline.

05

Enterprise Deployment Comparison

Deployment ModelData Leaves Client?Internet Required?Model HostingBest For
On-Prem ConnectedNoOptionalClient GPU / Private ClusterBanks, Telecom, Enterprise
Air-GappedNoNoLocal Open-Source ModelsGovernment, Critical Infrastructure
Private CloudNo Public AI APIPrivate NetworkDedicated Private InfrastructureRegulated Enterprise
Hybrid TransitionDepends on ConfigurationOptionalMix of Private Infrastructure + External APIsFast pilot before full sovereignty
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Frequently Asked Questions

GoAI247 offers four deployment models: on-premise connected (with secure update channels), fully air-gapped (zero external connectivity), private cloud (dedicated VPC in regional data centers), and hybrid transition (gradual migration between models).

On-premise deployment runs entirely within your data center with full hardware control and zero external data flow. Cloud deployment uses dedicated private cloud instances in regional data centers. Both ensure data sovereignty — the choice depends on your infrastructure preferences and compliance requirements.

Yes. GoAI247's hybrid model allows organizations to start with cloud deployment and gradually transition workloads on-premise, or maintain a split architecture where sensitive workloads run locally while less critical tasks use private cloud resources.

GoAI247 provides full migration assistance including infrastructure assessment, deployment planning, data migration tooling, and parallel-run validation. The engineering team supports seamless transitions between deployment models with zero data loss.

On-premise deployment requires GPU-enabled servers (NVIDIA A100 or equivalent), minimum 256GB RAM, enterprise-grade storage, and a Linux-based operating environment. GoAI247 provides detailed hardware specifications and can assist with procurement planning.

Yes. GoAI247's architecture is deployment-agnostic, allowing organizations to migrate between on-premise, cloud, and hybrid configurations. The platform's containerized design ensures consistent functionality regardless of the underlying infrastructure.