Compute and infrastructure
Compute Capacity
From large cloud regions in Toronto and Montreal to national research-computing clusters at the Digital Research Alliance, Canadian AI compute capacity is expanding fast. Cost, location, and sovereignty all shape who gets to train what.
Briefing dossier
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Topic overview
Briefing summary
Canadian AI computing capacity comes from three main places: big cloud regions run by Amazon, Microsoft, Google, and Oracle; publicly funded university supercomputers run through the Digital Research Alliance of Canada; and a growing set of Canadian data centres serving startups, companies, and governments that want data stored in Canada.
- Computing capacity sets the limit on what Canadian labs and startups can actually build; plans and funding matter less if the chips are not available.
- Where data centres land affects provincial economies, electricity planning, land use, and water use for decades.
- Canadian compute decisions in 2026 and 2027 could shape whether more AI work happens on Canadian-controlled systems or depends mainly on US cloud providers.
Evidence briefing
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- Jul 14, 3:13 a.m. CDT
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