Build and Operate Sovereign AI Clouds

Enable sovereign cloud providers to deliver secure, compliant, and self-service AI infrastructure with full control over data, workloads, and operations.

Turn accelerated computing infrastructure into secure, self-service AI services while maintaining control over data location, access, workloads, and operations.

Rafay provides the orchestration, multi-tenancy, governance, service catalogs, usage metering, and developer experience required to operate AI infrastructure across in-region, private, restricted, and air-gapped environments.

What is Sovereign AI Infrastructure?

Sovereign AI infrastructure is the compute, data, networking, software, and operational environment used to develop and run AI systems under defined jurisdictional, residency, security, and governance requirements. It is designed to preserve control over where data and models reside, who can access them, how workloads are operated, and which legal or regulatory frameworks apply.

Rafay provides the operating layer that enables organizations and cloud providers to expose this infrastructure through governed, self-service services while maintaining tenant isolation, policy enforcement, auditability, and operational control.

For Sovereign Clouds

What Sovereign AI Services Can You Deliver with Rafay?

Enable sovereign cloud providers to deliver AI/ML workloads with full control over data residency, access, and infrastructure operations.

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Sovereign GPU Infrastructure - Deliver bare metal, virtual machines, Kubernetes clusters, virtual clusters, and SLURM environments through governed, self-service workflows.

AI Development Environments - Provide approved workbenches, notebooks, tools, model catalogs, and fine-tuning environments to developers and data scientists.

Sovereign Model Services - Expose approved AI models through private or OpenAI-compatible APIs with tenant controls, policy enforcement, and usage metering.

Industry and Government AI Applications - Package provider-developed or third-party AI applications for deployment within approved regions or restricted environments.

Capabilities for Sovereign AI Infrastructure

Core Capabilities for Sovereign Cloud Solutions

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Sovereign Deployment Flexibility - Deploy the Rafay control plane and platform components in private, in-region, restricted, or fully air-gapped environments.

Infrastructure and Workload Orchestration - Provision and manage bare metal, virtual machines, Kubernetes, SLURM, GPU resources, AI environments, and applications.

Secure Multi-Tenancy - Isolate organizations, business units, teams, projects, and users with role-based access, quotas, policies, and tenant-specific administration.

Policy and Governance - Apply standardized controls for access, workload deployment, resource consumption, auditability, and operational consistency.

Why Choose Rafay for Sovereign Cloud Solutions?

Orchestrate consistently across deployment environments

Provide the infrastructure elasticity, scalability, automation, and reliability needed for high-efficiency AI application delivery. Manage AI infrastructure consistently across private clouds, public clouds, edge locations, and air-gapped environments through a single control plane.

Operationalize domestic AI infrastructure

Government- and national-issue-driven organizations can advance their own economies safely. Build sovereign AI capabilities on trusted domestic infrastructure while maintaining full control over data residency, operations, and critical workloads.

Support compliance and governance requirements

Apply identity, access, policy, quota, audit, and workload controls consistently across sovereign AI environments. Rafay helps organizations implement and demonstrate operational controls, while compliance remains dependent on the complete architecture and operating model.

Achieve faster time-to-value

Scalable infrastructure is now enforced with the necessary sovereign controls on data, models and agents.

Who Uses Rafay for Sovereign AI?

Sovereign cloud providers and telcos use Rafay to package and deliver GPU infrastructure, AI environments, and model services to customers.

Governments and regulated enterprises use Rafay to provide internal teams with governed, self-service access to AI infrastructure while retaining control over location, access, and operations.

Sovereign Cloud Solutions and Digital Sovereignty FAQs

Learn more about sovereign cloud solutions, digital sovereignty, AI infrastructure, and how Rafay helps organizations deliver secure, compliant AI services.

What counts as a node?

• A node is a physical or virtual server/machine.

Do you have any volume discounts?

• Yes! As the number of nodes increases the price per cluster or per node decreases.

What about short-lived or ephemeral clusters?

• Our customers love to experiment, and we don’t ding them for it. We don’t charge for node count spikes, but look at the running average of nodes in use when calculating usage.

Is there a difference between production and non-production pricing?

• The management overhead for helping our customers operate dev vs prod clusters is effectively the same, so we treat all nodes the same.

What if I use more nodes than I’ve licensed?

• Rafay has a true-up forward policy, meaning that we don’t carry out chargebacks for scenarios where the consumption in a completed billing cycle exceeded the licensed count. If the new, steady-state number of nodes is expected to be higher, our customer success team will discuss the situation with you, and take steps to adjust billing accordingly for the next billing cycle.

How much does Enterprise Support (24x7x365) cost?

• Enterprise Support is available at an additional fee equaling 20% of the cluster or node subscription.

Do you have EDU or GOV discounts?

• Yes, please contact sales for more information about discounts for educational institutions and government agencies.

What is a sovereign AI cloud?

• 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.

What is data sovereignty?

• 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.

How does Rafay support sovereign 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.

How does Rafay keep data and operations within national or EU sovereignty boundaries?

• 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.

Can GPUaaS be deployed in sovereign or air-gapped environments?

• 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.

Can I white-label the Rafay customer portal under my own brand?

• 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.

Can I route inference based on sovereignty requirements?

• 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.

How is sovereign AI different from data sovereignty?

• 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.

How does Rafay help federate multiple AI gigafactory sites across regions?

• 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.

Case study

Telus launches a sovereign, developer-ready AI Studio powered by Rafay

One of Canada's largest telecom companies, Telus, launches a sovereign, developer-ready AI Studio powered by Rafay

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