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Sovereign AI infrastructure

Sovereign AI capacity, designed to deploy in weeks.

MASH Compute (CMS-AI-DC Technologies Canada Inc.) designs and integrates the C40, a liquid-cooled AI data centre module in a 40-foot container, designed to go from factory to commissioned in 8–12 weeks (design target). Buy it, finance it, or lease-to-own it. Canadian owned and controlled.

C40 module — cutaway (design rendering)CDUGPU-denseGPU racksHigh-densityCold-plate liquid coolingDesign PUE ≤ 1.13Dry coolerCold supplyWarm return
Design rendering of the C40 liquid-cooled AI data centre module in a 40-foot container, showing the cold-plate liquid-cooling loop and GPU racks.

Why MASH Compute

Six pillars, one base.

  • 01

    Sovereignty

    Canadian ownership and Canadian operations reduce exposure to foreign legal demands. Customer data is managed by the customer; our facility telemetry stays in Canada. Certifications in preparation; entering CCCS assessment in 2028.

  • 02

    Modularity

    One standardized module, the C40: factory-built and zoned, with standardized interfaces. Add modules side by side to scale without redesigning the site.

  • 03

    Cost

    Factory build, cold-climate free cooling and power-first siting lower capital and operating costs, with a design PUE ≤ 1.13 target.

  • 04

    AI compute

    Purpose-built high-density, liquid-cooled infrastructure for AI training and inference. GPU-agnostic, with GPU servers selected per deployment.

  • 05

    Fast deployment

    Designed to go from factory to commissioned in 8–12 weeks (design target), instead of years. Built off-site, then transported, positioned, wired and commissioned on Canadian ground.

  • 06

    Efficiency

    Liquid-cooled by design, not retrofitted. A design PUE ≤ 1.13 target, to be measured on our prototype, so more of every watt goes to compute instead of heating a room.

Why now

Three tailwinds behind sovereign compute.

Compute scarcity and cost

Demand for AI compute outpaces supply, and conventional data centres are slow and capital-heavy to build. Prefabricated, liquid-cooled bases compress both time and cost.

Data sovereignty as a hard constraint

For regulated and public-sector buyers, where data lives and who can compel access is now a legal requirement, not a preference. Canadian ownership and Canadian operations help address it.

Canada's sovereign-compute push

Canada’s federal Sovereign AI Compute Strategy is mobilizing private-sector AI data-centre build-out — a market tailwind for Canadian-owned infrastructure.

The product

The C40.

One module: 800 kW of facility power, cold-plate liquid cooling and a design PUE target of ≤ 1.13, run by the MASH platform. Add modules side by side to scale. All figures are design targets.

Who it's for

Two ways the compute gets used.

For operators

GPU cloud and sovereign-compute players add capacity fast without building a data centre — and meter their own tenants with the platform's multi-tenancy and billing.

For operators

By sector

Defence and remote sites, mining and energy operations, government and enterprise deploy AI compute on their own site or at the edge — close to the data, the power and the people who need it.

By sector
Talk to us

Put sovereign AI capacity on your ground.

Tell us about your site. We’ll walk you through the C40 and what a deployment would take.