What is private AI infrastructure?

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.

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

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.

Who is Aurora built for?

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.

How does Aurora compare to hyperscalers on cost?

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.

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

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.

What regulatory and data residency requirements does Aurora support?

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.

How quickly can Aurora deploy infrastructure?

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.

Aurora Infra | Scalable Private AI Infrastructure

THE AURORA AI STACK

Delivering the Full AI lifecycle.

From bare metal to private infrastructure to managed AI.

Compute

— The compute foundation for private AI workloads

Virtual machines, Kubernetes clusters, and dedicated instances.

Virtual Machines for any workload Managed Kubernetes clusters Single-tenant for performance-sensitive workloads

Explore Compute →

GPU & AI

— Private managed AI

Managed B200 and B300 clusters, AI inference as a service, and confidential compute — the engine behind private AI deployment.

Managed environments GPU Clusters 100 kW to MW+ Confidential Compute 2 - 7x lower pricing than hyperscalers

Explore GPU & AI →

Storage

— PiB-scale S3 storage

S3-compatible object storage, block volumes, filesystems, and snapshots — purpose-built for AI data pipelines at PB scale.

S3 compatible TiB to PiB No egress fees

Explore Aurora Storage →

Data Centers

— Advisory & infrastructure at MW scale.

New builds, modernization, migration, and managed operations.

New capacity from 5kW to MW-scale Modernize & retrofit for AI workloads Migration from hyperscalers Operations & scale with 99.9% uptime SLA

Explore Aurora Data Centers →

Infrastructure ready for any scale.

Enterprise & Public Sector

Private AI without hyperscaler dependency
Jurisdictional data control
Regulatory compliance built-in

Telcos & Data Centers

Monetize existing infrastructure
Introduce private AI services
Expand incrementally

Cloud & MSP Partners

White-label S3 storage
Private AI under your brand
Control pricing & relationships

ENGINEERING-LED

The engineers behind your engineers.

Aurora's team is led by one of the original architects of IPFS and Filecoin, joined by an EU-based team with decades of experience across data center builds, global infrastructure deployments, and sovereign AI systems.

EU-based

Engineering team

PiB+

Storage deployed

MW-scale

AI capacity

Global regions

YOUR AI INFRASTRUCTURE.

AURORA PLATFORM

Aurora delivers private AI infrastructure where your data lives. Start with a 1-month, 1 TiB free trial — then scale compute, storage, and AI workloads from a single stack, without hyperscaler dependency.

GPU compute on demand
Private AI environments and managed data pipelines
S3-compatible object storage — active and archive
No egress fees. No lock-in. No surprises.

Get Started

THE ENGINEERS BEHIND YOUR ENGINEERS

Aurora's engineering team is led by Lukas Magiera — one of the original architects of IPFS and Filecoin, and co-founder of Curio. Joined by an EU-based team with decades of combined experience across data center builds, global infrastructure deployments, and sovereign AI systems.

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.

How Aurora works:

Engineers behind your data and platform teams
Designed for TiB–PiB scale data management and AI workloads
Built for regulated, data-intensive environments
Built to compete with hyperscalers on scale, control, and long-term economics

SCALABLE
PRIVATE AI
INFRASTRUCTURE