AI Infrastructure Services in Canada

Plan private AI around your workload and location. Connect modular shelters, enterprise GPU systems, power, cooling and fibre in one practical deployment plan.

Discuss your project →

Modular Data Centres & AI Shelters

Create a dedicated environment for private AI with telecom-style shelters and walk-in enclosures. Bring racks, power distribution, cooling and monitoring into one coordinated plan.

Start with your workload, rack density, site conditions and maintenance access. Plan space for expansion from the outset.

Concept illustration of a telecom-style AI shelter with solid walls, double service doors and external cooling

Site, Power & Cooling Integration

Establish what your site can support before selecting the equipment. Coordinate utility capacity, backup power, cooling, site access and permitting around the deployment.

Assess grid-connected, off-grid or hybrid power and energy storage where appropriate. Agree responsibilities, approvals and operating requirements during project planning.

Concept illustration of a shelter utility bay with UPS, electrical distribution and cooling equipment

Fibre & Cluster Connectivity

Connect your AI systems to the data, users and services they depend on. Plan last-mile fibre, carrier access, bandwidth, switching and network resilience alongside compute.

Assess latency and availability targets against the location and architecture. Size storage and cluster connectivity around the applications you intend to run.

Fibre patch panels and organised network cabling

Enterprise platforms for AI inference

Choose infrastructure around the workload, with server options from established manufacturers.

Supermicro SYS-521GE-TNRT — a 5U GPU platform with supported NVIDIA L4 and L40S configurations.
Dell PowerEdge R760xa — a GPU-optimised, air-cooled 2U server for workloads including inference.
HPE ProLiant DL380a Gen11 — a 2U accelerator platform with supported L4 and L40S options.
Lenovo ThinkSystem SR650 V3 — a 2U enterprise server with documented L4 and L40S support.

These are reference platforms for discussion. Final selection depends on model memory, concurrency, latency targets, validated configurations, availability and support requirements.

Start with a practical deployment plan

Share your use case, site location, target timeline and budget range. We will discuss the compute and infrastructure scope that fits your project.

Discuss your project →

Concept configurations shown. Final layouts, equipment and commercial scope are confirmed in each proposal.