Question 1

What is private AI infrastructure?

Accepted Answer

Private AI infrastructure is compute, storage, networking, and AI serving capability deployed within a controlled environment — on-premises, in a private cloud, or in a sovereign region — without reliance on hyperscaler platforms such as AWS, Azure, or GCP. It gives organizations full control over where their data lives, who can access it, and what it costs to operate AI workloads against it.

Question 2

What is the difference between private AI infrastructure and colocation or managed cloud?

Accepted Answer

Private AI infrastructure is not colocation, a managed cloud subscription, or a software layer running on a hyperscaler. It is a dedicated, in-region stack of compute, storage, and AI services — operated under the control of the deploying organization, not shared across public cloud tenants, and not routed through centralized hyperscaler architecture. Aurora builds, deploys, and operates the full stack, while the customer or partner controls the brand, the data, and the commercial relationships.

Question 3

Who is Aurora built for?

Accepted Answer

Aurora builds for three types of organizations. Enterprises and public sector organizations — including regulated industries and government agencies — that need private AI infrastructure for their own operations, in-region and under their control. Telcos, MSPs, and regional operators who white-label and resell private AI services under their own brand. Channel and GTM partners such as system integrators and distributors who introduce Aurora into enterprise accounts and own the customer relationship.

Question 4

How does Aurora compare to hyperscalers on cost?

Accepted Answer

Aurora delivers private AI infrastructure at 50 to 80 percent lower total cost than hyperscalers. GPU pricing runs 2 to 7 times below AWS, GCP, and Azure rates. Aurora Storage is priced at $5.99 per TiB per month with no egress fees — hyperscaler object storage generates additional costs for every data movement to compute. At production AI scale, the economics of private infrastructure are not marginal. They are decisive.

Question 5

Can Aurora's platform be white-labeled and resold?

Accepted Answer

Yes. Aurora's full platform is available as a white-labeled service for telcos, MSPs, and regional operators. Partners present compute, GPU, storage, and AI services under their own brand — their logo, their domain, their pricing, and their customer relationships. Aurora operates the infrastructure and remains invisible at every layer. Partners own the margin.

Question 6

What regulatory and data residency requirements does Aurora support?

Accepted Answer

Aurora deploys infrastructure in-region by default — data does not leave the target jurisdiction unless explicitly configured to do so. Aurora's network layer is built for GDPR, the EU AI Act, and NIS2 compliance contexts, with VPC isolation, BYO KMS encryption, full audit logging, and air-gapped deployment options. Aurora supports organizations with data sovereignty requirements that hyperscaler infrastructure cannot satisfy.

Question 7

How quickly can Aurora deploy infrastructure?

Accepted Answer

Aurora Storage is available immediately via self-serve free trial. Software platform deployments on existing customer infrastructure go live in 1 to 4 weeks. New GPU builds take 8 to 16 weeks depending on configuration. Full data center builds from greenfield take 8 to 16 weeks for the hardware layer, with the Aurora platform deployed on top within 2 to 4 weeks.

AI infrastructure built for production —
from bare metal to inference.

Delivering the Full AI workload.

AI Cloud

GPU

Storage

Edge

Why Aurora Infra:
Fast lead times. Reliable delivery.

What Aurora delivers:

AI Data center infrastructure.
Deployed close to where you operate.

THE ENGINEERS BEHIND YOUR ENGINEERS

We don't just understand this infrastructure.
We helped design it.

Aurora Infra is the infrastructure layer for organizations operating large-scale, mission-critical data environments.

AURORA CONVERTS LARGE-SCALE DATA INFRASTRUCTURE INTO USABLE, MONETIZABLE AI AND COMPUTE CAPACITY.

Tell us about what you’re building...

AI infrastructure built for production —from bare metal to inference.