Build and Operate Sovereign AI Clouds 

A sovereign AI cloud is a cloud environment that enables organizations to develop, deploy, and operate AI workloads while maintaining control over where data, models, and infrastructure reside. It combines data sovereignty, security, governance, and compliance controls with the infrastructure needed to deliver AI services within approved jurisdictions.

Data sovereignty is the principle that data is governed by the laws and regulations of the country or region where it is stored and processed. Organizations operating in regulated industries often need to ensure sensitive information remains within approved jurisdictions, making data sovereignty a core requirement for sovereign AI clouds and secure AI infrastructure.

Rafay provides a self-service platform for delivering AI infrastructure with built-in governance, policy enforcement, tenant isolation, automation, and lifecycle management. Organizations can standardize AI services while maintaining operational control across sovereign, private, hybrid, and air-gapped environments.

Rafay enforces data residency and operational sovereignty by running entirely on the operator's own premises, within their own facilities and jurisdiction. The Rafay controller, all operational tooling, telemetry, logs, and configuration data run locally — nothing is routed through Rafay-hosted infrastructure or leaves the sovereign boundary as a condition of platform operation. Data residency is enforced architecturally rather than by policy alone: because there is no required external connectivity, tenant data cannot leave the environment even in the event of a misconfiguration. EU-based systems integrator partners provide in-region delivery, support, and professional services, keeping the full operational chain within the required geographic boundary. Rafay holds SOC 2 certification and provides a structured EU Cloud Sovereignty self-assessment mapped to the European Commission framework.

Yes. GPUaaS can be deployed in sovereign, private, and fully air-gapped environments to meet data residency, security, and regulatory requirements while providing controlled access to GPU resources.

Yes. The Rafay platform supports full white-label customization, so GPU cloud providers and neoclouds can present the self-service portal entirely under their own brand. Logo, colors, domain name, and product name are configurable per white-labeled partner. Language, number format, currency display, and unit systems are configurable at the tenant level. This delivers a branded, hyperscaler-style self-service experience to end customers without building a portal from scratch.

Yes. Rafay enables policy-driven inference routing based on data residency, sovereignty, compliance, latency, capacity, and cost requirements. Organizations can ensure that inference requests are served only from approved regions or infrastructure locations, helping meet regulatory obligations while maintaining performance and availability.

Data sovereignty focuses on where data is stored and processed and the legal requirements that apply to it. Sovereign AI extends these principles to the entire AI lifecycle, including data, models, infrastructure, inference services, and operational governance, enabling organizations to retain control over AI development and deployment within trusted environments.

Rafay manages multiple geographically distributed AI gigafactory sites from a single logical control plane, enabling operators to treat a multi-site GPU fleet as one governed resource pool. The platform provides a federated resource view, cross-site workload scheduling, federated identity and policy management, secure site interconnection, and per-site data sovereignty enforcement, with multi-provider interoperability through open APIs. Each site maintains its own sovereignty boundary and can operate independently while being orchestrated centrally — supporting federated European AI gigafactory models where different national sites must remain jurisdictionally separate. Operators can manage the full fleet, including tenant onboarding, node lifecycle, and capacity allocation, from one control plane without collapsing the per-site isolation that sovereignty requirements demand.