What are the three Aurora deployment models?

Aurora delivers private AI infrastructure through three deployment models. Aurora AI Platform is a pure software deployment on the customer's existing hardware, with a 2 to 4 week lead time. Aurora Hosted provides Aurora-owned infrastructure white-labeled under the partner's brand, with a 1 to 16 week lead time. Aurora Managed Build is a full turnkey new build where Aurora procures, finances, deploys, and operates the infrastructure, with an 8 to 16 week lead time. All three models run on the same Aurora platform.

What is included in every Aurora deployment?

Every Aurora deployment includes managed Kubernetes with GPU-aware scheduling, GPU drivers and health monitoring, the Aurora Console for unified resource management, BYO KMS encryption with support for HashiCorp Vault and other providers, hardware-level confidential compute on B200 and B300 hardware, in-jurisdiction deployment by default, and a 99.9% platform uptime SLA.

How does Aurora support data sovereignty and data residency requirements?

Aurora deploys infrastructure in-region across North America, Western Europe, the Nordics, GCC, and APAC. Data does not leave the target jurisdiction without explicit configuration. Aurora supports BYO KMS encryption where the customer retains key governance, full audit logging, and air-gapped deployment options for the most sensitive workloads. This architecture supports GDPR, the EU Data Act, Canada's Protected B framework, and sovereign AI programs in UAE and APAC. Aurora does not provide legal or compliance advice — customers should confirm applicability with their own legal and compliance teams.

Who is Aurora built for?

Aurora serves telcos and regional clouds that want to offer private AI cloud services under their brand, MSPs and channel partners introducing AI infrastructure capability into enterprise accounts, neoclouds and AI labs requiring MW-scale colocation and GPU operations, and regulated enterprises and public sector organizations with data sovereignty requirements that hyperscaler infrastructure cannot satisfy.

How does Aurora compare to hyperscaler AI infrastructure?

Hyperscaler AI infrastructure routes data through shared, US-operated infrastructure that is structurally unable to satisfy data residency requirements in the EU, Canada, and other regulated markets. Aurora deploys dedicated infrastructure in the customer's target jurisdiction, keeps data in-region by default, supports BYO KMS so the customer holds encryption keys, and provides GPU pricing that runs 2 to 7 times below hyperscaler rates. Aurora is channel-first — it is deployed under the partner's brand, not Aurora's.

What is the fastest way to deploy private AI infrastructure with Aurora?

Aurora AI Platform — pure software deployment on the customer's existing hardware — has a 2 to 4 week deployment lead time. This is the fastest path for operators and enterprises that already have rack space, server hardware, or GPU infrastructure. Most Aurora engagements begin with a direct conversation to identify the right deployment model and deliver indicative scoping within one or two calls.

Solutions — Three Ways to Deploy Private AI

Built Once.
Deployed Where You Need It.

Aurora is a full-stack private AI infrastructure platform. Compute, GPU, storage, inference and network — integrated, managed, and accessible through a single Aurora Console.
No hyperscaler routing. No shared infrastructure. Data stays in jurisdiction.

What changes between deployment models is not the platform — it is how the infrastructure gets there. Aurora meets operators, telcos, and enterprises where they are: from a software deployment on existing hardware to a complete new data center build.

2 - 4 wks Software deployment

1 - 16 wks Hosted deployment

8 - 16 wks Full build lead time

99.9% Platform uptime SLA

Three Delivery Models. One Aurora Stack.

All three models include managed Kubernetes, GPU drivers and health monitoring, the Aurora Console,
BYO KMS encryption, hardware-level confidential compute, and a 99.9% uptime SLA.

Aurora
AI Platform

Your hardware. Aurora software.
The fastest path to a live private AI environment for operators and enterprises with existing infrastructure.

Pure software deployment on your hardware
Aurora platform: compute, storage,inference, network, console
Managed Kubernetes, GPU orchestration, monitoring
BYO KMS encryption and confidential compute
2–4 week deployment lead time

Best for: Telcos and MSPs with existing rack capacity. Enterprises with owned GPU or server infrastructure.

Explore Aurora AI

Aurora
Hosted

Aurora-owned infrastructure. Partner-branded. The right model for operators who want to offer private AI cloud services without owning or operating hardware.

Aurora owns and operates the infrastructure
Full white-label: your brand on portal, domain, and billing
CPU compute live; GPU and inference endpoints Q3 2026
Managed through the Aurora Console
1–16 week lead time depending on capacity requirements

Best for: Telcos, regional clouds, and MSPs building a white-label AI cloud offering.

Explore GPU & AI

Aurora
Managed Build

Full turnkey new build. Aurora procures, finances, deploys, and operates the infrastructure for operators who need MW-scale AI capacity without the capital or engineering overhead.

Site selection and colocation procurement
GPU procurement and financing
Cluster deployment — InfiniBand, bare metal, Kubernetes handoff
Aurora platform deployment — compute, storage, network
8–16 week lead time, managed operations with 99.9% SLA

Best for: Neoclouds, AI labs, sovereign operators, and enterprises requiring MW-scale AI capacity delivered turnkey

Explore Aurora Data Centers

Not sure
which model fits?

Most Aurora engagements start with a conversation. Tell us about your infrastructure, your workload targets, and your timeline. We will identify the right model and deliver indicative scoping within one or two calls.

Talk to An Aurora Advisor

The Aurora Platform — Included in Every Deployment.

Regardless of delivery model, every Aurora deployment runs on the same integrated platform. The Aurora Console provides a single point of access across all resources.

Aurora Console

Unified control plane across compute, GPU, inference, storage, and network. Manage every resource, user, and workload from a single interface. White-labeled under your brand.

Managed Kubernetes

GPU-aware Kubernetes orchestration included in every deployment. Workloads scheduled to the right hardware automatically.

BYO KMS Encryption

Bring your own key management system. Aurora integrates with HashiCorp Vault and other KMS providers. You control key governance and can revoke data access at any time.

Confidential Compute

Hardware TEE on B200 and B300. Isolated AI execution at the hardware level. In-region deployment by default. Supports air-gapped configurations.

In-Jurisdiction Deployment

Aurora deploys in-region. Data does not leave your target jurisdiction by default. Nordics, Western Europe, North America, GCC, and APAC regions supported.

99.9% Platform SLA

Aurora operates what it deploys. Monitoring, incident response, GPU health management, and SLA enforcement are included in every engagement.

Your Data. Your Region. Your Keys.

Enterprise AI procurement is increasingly shaped by data residency requirements, regulatory obligations, and the need to keep infrastructure under jurisdictional control. GDPR and the EU Data Act require data to remain within defined boundaries. Canada's Protected B framework mandates sovereign infrastructure for government workloads. UAE and emerging APAC sovereign AI programs are pulling enterprise buying toward in-country operators.

Hyperscaler infrastructure is structurally unable to satisfy these requirements. Aurora is built for the operators and enterprises who serve these buyers — with in-region deployment, BYO KMS encryption, full audit logging, and air-gapped options for the most sensitive workloads.

*Aurora does not provide legal or compliance advice. Confirm applicability with your legal and compliance team.

GLOBAL DEPLOYMENT

AI Data Center Infrastructure. Deployed In-Region.

Aurora deploys infrastructure across North America, Western Europe, the Nordics, GCC, and APAC.
Every deployment is in-region by default — data does not leave the target jurisdiction without explicit configuration.

Built for Operators, Enterprises, and Partners.

Telcos & Regional Clouds

Operators with existing infrastructure who want to offer private AI cloud services under their brand. Aurora AI Platform or Aurora Hosted delivery.

MSPs & Channel Partners

Managed service providers introducing AI infrastructure capability into enterprise accounts. Aurora handles the platform and engineering — partners own the customer relationship and the margin.

Neoclouds & AI Labs

Operators needing colocation, GPU procurement, and operations at MW scale. Aurora Managed Build delivery. Single point of entry, multi-product expansion path.

Regulated Enterprises & Public Sector

Organizations with data sovereignty requirements, air-gap needs, or regulatory obligations that hyperscaler infrastructure cannot satisfy. Direct sales, often via channel partners.