Strategic Partnership

Turned GPU infrastructure into a managed AI cloud platform

One of Europe's largest GPU infrastructure providers partnered with aion to transform dedicated compute capacity into a self-service AI cloud, unlocking new revenue channels and making thousands of GPUs accessible to enterprises and AI teams in minutes instead of weeks.

Engagement

The Brief

Client

One of Europe's largest GPU infrastructure providers

Deployment Model

Self-service AI cloud

Regions

Multi-region rollout

Delivery Model

Embedded aion forward-deployed engineers

ThousandsNVIDIA GPUs
H100 / H200Clusters
MinutesProvisioning, instead of weeks

The Opportunity

Context

The provider had built world-class AI infrastructure, including thousands of NVIDIA H100 and H200 GPUs across multiple data centers. But access to that infrastructure was largely limited to traditional hosting and enterprise procurement models. As a result:

Difficult to access

Capacity was difficult for AI teams to access.

Weeks to provision

Provisioning took weeks instead of minutes.

Custom engagements only

Infrastructure was sold primarily through large, custom engagements.

Operational overhead

Scaling customer adoption required significant operational effort.

The provider wanted to expand beyond infrastructure hosting and deliver a modern AI cloud experience.

What aion Delivered

Approach

Self-Service AI Cloud Platform

Enterprises and AI teams can now provision high-performance GPU infrastructure through a single platform experience.

Automated Provisioning and Orchestration

Physical GPU infrastructure integrated into aion's software-defined cloud layer, reducing deployment complexity and operational overhead.

Multi-Region Capacity Management

Capacity brought online across multiple data-center locations through a repeatable onboarding and deployment framework.

Unified Billing and Customer Management

Transparent usage-based pricing, customer onboarding, and infrastructure management delivered through a single platform.

aion forward-deployed engineers worked alongside the provider's infrastructure team throughout platform integration and regional rollout.

Outcomes

Outcome

A new revenue channel

The provider's addressable market expanded beyond traditional hosting customers to AI startups, enterprises, and research organizations.

Provisioning in minutes, not weeks

Customers now access GPU capacity on demand rather than through multi-week procurement cycles.

Higher infrastructure utilization

Previously difficult-to-access GPU capacity is now consumable through a self-service model, converting idle capacity into revenue.

An enterprise-ready AI cloud

World-class physical infrastructure now pairs with cloud-native provisioning, billing, and management.

The takeaway

Building GPU infrastructure is difficult. Building a cloud platform on top of that infrastructure is often even harder. aion enabled one of Europe's largest GPU infrastructure operators to move beyond traditional hosting and deliver a modern AI cloud experience: new revenue channels, faster customer onboarding, and high-performance compute available on demand.

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