Data · The physical footprint
Canada has 89 mapped data-centre sites. Most are in Ontario and Quebec.
AI needs a place to run. This directory maps the facilities and asks what each one needs from local grids, water and public budgets, and what public records still leave out.
Data updated . Next scheduled update by November 24, 2026.
- 89Mapped data-centre sites
Includes 8 planned or proposed. Operator websites, DatacenterMap.com, Baxtel and public announcements.
- 56In Ontario (33) and Quebec (23)
Same directory, by province.
- 13High-compute sites
Directory facility type. Includes AI hosting and cryptocurrency-mining operators; not all of it is AI capacity.
- 400 MWB.C.'s benefits-screened power for AI and data centres
As much as 400 MW over two years. Source: Government of British Columbia.
Where they are
Facilities by province
Filter by province, operator, type, status or estimated impact.
What it means
What to read alongside the map
The useful question is what each facility asks of the local grid, water system, public budget, and disclosure record.
Electricity is the binding constraint
The issue is not only national electricity totals. Large facilities create concentrated loads that can test local transmission, winter peaks, tariffs, and queue rules.
The sovereign-compute path is now project-screened
ISED's closed intake targeted large-scale AI data-centre proposals above 100 MW and asked proponents to show Canadian-client benefits, Indigenous participation, environmental impacts, supply-chain fit, readiness, and cost structure.
Low-carbon grids lower operating emissions, not public tradeoffs
Hydro- and nuclear-heavy grids can make operating emissions much lower, but scarce clean electricity still has an opportunity cost for homes, industry, exports, and electrification.
Water impact is local and design-dependent
Cooling water cannot be read from a national average. Direct cooling, indirect electricity-related water, local basin stress, and drought protocols all change the answer.
Operating emissions are only one layer
A serious assessment separates location-based grid emissions, market-based renewable claims, construction, cooling plant, servers, chips, and replacement cycles.
Economic gains are real but narrower than announcements imply
Construction work, tax revenue, and procurement can matter. Permanent operating jobs are usually smaller, and public subsidies need a clear benefit test.
Public reporting is still too thin
Facility-level MW, PUE, WUE, water source, backup generation, hourly load shape, and effective clean-energy matching are often missing from public records.
By province
Canada is moving from attraction to allocation
The clean-grid advantage is real, while the public questions are shifting toward firm power, disclosure, and enforceable local benefit.
- Canada
- Canada already has a substantial data-centre base, but public facility-level operating data remains uneven.A national count is useful for scale, but local load, cooling, and grid effects still need project-level disclosure.
- Canada
- Since September 2026, builders can sign five voluntary federal principles on local benefits, electricity costs, water, transparency and strategic value; 42 organizations had signed by September 22.The principles are voluntary, so what matters is whether signatories publish the local effects they commit to disclose.
- Ontario / Alberta
- Ontario and Alberta are now treating AI/data-centre growth as an electricity-allocation and economic-development question.Project timing, location, tariff design, domestic data-hosting value, and grid readiness matter as much as the headline announcement.
- B.C. / Quebec / Manitoba
- B.C.'s active competitive process puts as much as 400 MW over two years behind a benefits-based screen for AI and data-centre projects; other hydro-rich provinces are also moving toward pricing and uncertainty management.Clean electricity is an advantage, but it is still a public allocation question, not a free pass.
Sources
Sources behind this page
16 public source sets, each with its type and a confidence rating.
Sources
Sources behind this page
16 public source sets, each with its type and a confidence rating.
Innovation, Science and Economic Development Canada: Enabling large-scale sovereign AI data centres
Science: Recalibrating global data center energy-use estimates
Environmental Research Letters: The environmental footprint of data centers in the United States
Independent Electricity System Operator: Annual Planning Outlook
Government of Ontario: 2026 Ontario Budget: AI and data-centre electricity priorities
Alberta Electric System Operator: Interim approach to large load connections
Government of Alberta: Artificial Intelligence Data Centres Strategy
Government of British Columbia: B.C. competitive clean-power process for AI and data centres
Hydro-Quebec: A new rate for data centres and a rate adjustment for blockchains
Natural Resources Canada: Data-centre efficiency and best-practice guidance
Related
Compute commitments need delivery evidence
The national AI strategy promises sovereign compute, a public supercomputer, and SME access. The strategy tracker separates those commitments from proof of delivered capacity. Check compute sources.