Question 1

What is Aurora's private AI infrastructure platform?

Accepted Answer

Aurora is a full-stack private AI infrastructure platform built for enterprises, telcos, and governments that need control over their compute, data, costs, and operations. It spans five integrated product areas: Compute, GPU and AI, Storage, Network, and Data Centers. Each product is independently deployable and integrates across the full Aurora stack. Aurora operates the infrastructure — customers and partners control the brand, pricing, and customer relationships.

Question 2

How does Aurora compare to hyperscalers like AWS, GCP, and Azure?

Accepted Answer

Aurora delivers private AI infrastructure at 50 to 80 percent lower cost than hyperscalers. GPU pricing runs 2 to 7 times below AWS, GCP, and Azure rates. Aurora does not charge egress fees. Data stays in-region by default, which hyperscaler architectures cannot guarantee. Aurora is deployed under the customer's or partner's control — there is no shared public infrastructure, no data routing through third-party networks, and no vendor lock-in.

Question 3

What deployment models does Aurora support?

Accepted Answer

Aurora supports three deployment models. Aurora AI Platform deploys on the customer's existing hardware. Managed Cloud deploys on Aurora-owned hardware. Private AI IaaS covers new infrastructure builds from the ground up. All three models use the same Aurora platform, the same management layer, and the same 99.9% uptime SLA. Deployments go live in 1 to 8 weeks depending on the model and scope.

Question 4

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 the infrastructure under their own brand — their logo, their domain, their billing, and their customer relationships. Aurora operates the infrastructure and remains invisible to the end customer. Resellers typically earn margin on compute, GPU, and storage services priced against Aurora's wholesale rates.

Question 5

What regions does Aurora operate in?

Accepted Answer

Aurora is active across the Americas, Nordics, UAE, and APAC. Engagements are delivered directly or in collaboration with local operators, depending on regulatory, geographic, and operational requirements. Aurora deploys in-region — data stays within the target jurisdiction by default.

Question 6

What performance benchmarks does Aurora's platform deliver?

Accepted Answer

Aurora's platform delivers 98.5% cluster goodput, 11 or more GB per second storage throughput, 3.2 Tbps InfiniBand fabric for GPU interconnect, and a 99.9% platform uptime SLA across all deployment models.

Question 7

Who is Aurora's infrastructure built for?

Accepted Answer

Aurora builds for three types of organizations. Enterprises and public sector organizations that need private AI infrastructure for their own operations — in-region, under their control, without hyperscaler dependency. 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.

Full-Stack Private AI Infrastructure.

One Platform.
Built for What Hyperscalers Can't Deliver.

50-80% cost savings vs hyperscalers

GPU pricing 2-7x cheaper than AWS, GCP, and Azure

99.9% platform
uptime SLA

Live in 1-8 weeks depending on deployment model

Each product area is independently deployable and integrates across the full Aurora stack.

Compute

GPU & AI

Storage

Data Centers

Built to Perform at Scale.

Ready to see it in action?