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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.
Read the full context

AWS, Microsoft Azure, and Google Cloud all operate Canadian regions anchored in Toronto and Montreal, with AWS also adding Calgary. These regions offer AI chips such as NVIDIA GPUs, Google TPUs, and AWS Trainium or Inferentia chips. Canadian customers still compete with global demand, so access to advanced chips has been a recurring bottleneck since 2023.

University computing runs through national systems such as Fir, Rorqual, Nibi, and Trillium, with institute-specific clusters at Mila, Vector, and Amii. The federal Pan-Canadian AI Compute Strategy, first announced in late 2024 and expanded through 2026, committed major funding toward this layer and toward Canadian-controlled computing capacity for Canadian-headquartered firms.

Canadian-controlled compute has become a major government question. Supporters say Canada needs its own AI supercomputers so sensitive data and public money are not fully dependent on foreign cloud firms. Critics ask whether that route is too slow or expensive, especially when the largest US cloud companies already have first claim on many advanced chips.

Power and location now drive where new capacity lands. Hydro-rich Quebec and Manitoba are attractive for new builds, while Alberta is using natural-gas power, cold climate, and data-centre incentives to compete. Land, grid connections, and local planning approvals may become the real limits through the late 2020s.

People, organisations, and source pathsVerification layer

Key people

  • Aidan Gomez - Co-founder and CEO - Cohere - a flagship domestic compute customer
  • Raquel Urtasun - Founder and CEO - Waabi - autonomous-vehicle compute user

Key organisations

Source-linked reading

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