Private AI inference. On your site.

Modular AI shelters and enterprise GPU systems for organisations in Canada. Coordinate compute, power, cooling and fibre around your workload, site and growth plans.

Concept illustration of telecom-style modular AI shelters with solid walls, external cooling and service access

From site to inference

Concept illustration: modular AI shelter with solid walls and exterior cooling

Modular AI Data Centres

Modular shelters and walk-in enclosures planned around your site, rack layout, maintenance access and expansion needs.

Concept illustration: shelter cooling units and electrical service connections

Power & Cooling

Utility capacity, backup power, thermal management and fibre connectivity coordinated around your deployment.

Concept rendering of an inference rack based on HPE ProLiant DL380a server chassis inside a telecom-style shelter

AI Inference Systems

Enterprise GPU servers, storage and networking sized for your models, response-time targets and concurrent users.

Frequently Asked Questions

Who is on-site AI infrastructure for?

We work with enterprise IT teams, industrial and telecom operators, and institutions that need AI compute close to their operations. Common starting points include private knowledge assistants, document processing and computer vision. We assess the workload and location before recommending on-site infrastructure.

What is a modular AI shelter?

A modular AI shelter is an insulated equipment enclosure planned for racks, power distribution, cooling, monitoring and network connections. Telecom-style shelters and walk-in enclosures provide a practical starting point. Site works, permits, utility capacity and equipment selection determine the final design and schedule.

Which server platforms can be considered?

Platform options include Supermicro GPU systems, Dell PowerEdge, HPE ProLiant and Lenovo ThinkSystem servers. We assess supported GPU configurations against model memory, concurrent users, response-time targets, power and cooling. Final models, availability and support terms are confirmed in the project proposal.

How are projects scoped and priced?

Each project is scoped around the workload and site. Pricing depends on the enclosure, GPU systems, storage, networking, electrical capacity, cooling, site works and support requirements. Share your location, use case, timeline and budget range so we can establish project fit and the next planning step.

What does local hosting change?

On-site processing can help reduce dependence on remote connectivity and give your organisation more control over where data is processed. Actual latency depends on the architecture and workload. Data residency alone does not establish compliance: access controls, software, operating procedures and applicable requirements must also be addressed.

Start with the workload. Build the right infrastructure.

Define your models, concurrent users and response-time targets. Assess site power, cooling and connectivity. Then scope an initial deployment with a clear path to expansion. Concept illustrations are shown; final equipment and layouts are confirmed for each project.

Let’s plan your AI deployment

Tell us your organisation, site location, AI use case and target timeline. If known, include your power availability, GPU or rack requirements and budget range. We’ll use these details to discuss project fit and next steps.

A practical first step

Start with a project conversation. We will review what you want to run, where the system will operate and the constraints that shape the deployment.

Bring what you know: your AI use case, expected users, site location and target timeline. Early estimates are enough to begin.

What follows: an agreed next step for assessing site readiness, equipment options and project scope. Pricing depends on the configuration, site work, connectivity and support required.

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About us

Infrastela combines computing and telecommunications infrastructure experience to help organisations deploy private AI in Canada. We connect the decisions around shelters, enterprise GPU servers, power, cooling and fibre so your project starts with a practical, coordinated plan.