Supercomputers/Systems/Killarney
Canada · operational · ai training
Killarney
Operated by Vector Institute at SciNet (University of Toronto) .
Phase 1 seed dataset, compiled by hand. These rows were built from public operator, laboratory and vendor sources. A mechanical second-reader pass has since fetched every cited source: 1092 of 1153 systems have a readable citation that names them, and 40 are genuinely weakly sourced. Every claim carries its source and a confidence tier. Treat anything below verified as a lead, not a citation.
Measured performance
- Rmax
- -
- Rpeak
- -
- Rmax ÷ Rpeak
- -
- Cores
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- Power
- -
- Per watt
- - GF/W
Figures are as last publicly reported for the configuration described below, not a live measurement. Where a system was upgraded in place, the post-upgrade configuration is shown and the earlier one appears in the timeline.
What this machine is made of
One row per supplier relationship. “Supplier at build” is the company that shipped the part at the time; where that company has since been acquired, the parent it rolls up to today is shown beside it. That distinction is what makes ticker-level aggregation possible across a thirty-year dataset.
| Role | Part | Supplier at build | Quantity | Confidence | Source |
|---|---|---|---|---|---|
| Accelerator | NVIDIA L40S Accelerators CUDA (Ada Lovelace) · 350 W 672 NVIDIA L40S GPUs (168 nodes x 4) | NVIDIA | 672 reported | Reported | alliancecan.caalliancecan.ca |
| Accelerator | NVIDIA H100 SXM5 Accelerators CUDA (Hopper GH100) · 16,896C · 1.98 GHz · TSMC 4N · 700 W 80 NVIDIA H100 SXM GPUs (10 nodes x 8) | NVIDIA | 80 reported | Reported | alliancecan.caalliancecan.ca |
| CPU | - Intel Xeon Gold 6338 (168 standard nodes, two per node) and Xeon Gold 6442Y (10 performance nodes, two per node) | Intel | - | Reported | alliancecan.ca |
AI datacenter metrics
Figures beyond an accelerator count, each with who stated it. What can and cannot be compared across AI datacenters.
| Metric | Value | As of | Basis | Note | Source |
|---|---|---|---|---|---|
| Accelerators | 752 accelerators | 2026-10 | Operator stated | Alliance page: 168 nodes x 4 L40S (672) plus 10 nodes x 8 H100 (80). Mixed GPU types. | alliancecan.ca |
The read
An AI-dedicated cluster operated by the Vector Institute and SciNet and hosted at the University of Toronto as one of the three Pan-Canadian AI Compute Environment (PAICE) systems integrated with the Digital Research Alliance of Canada. The Alliance documents two tiers: a Standard Compute tier of 168 nodes, each with two Xeon Gold 6338 CPUs, 512 GB of memory and four NVIDIA L40S GPUs (672 GPUs), and a Performance Compute tier of 10 nodes, each with two Xeon Gold 6442Y CPUs, 2 TB of memory and eight H100 SXM GPUs (80 GPUs), 752 GPUs in all. Interconnect, storage and the vendor are not stated in the fetched documentation, and no commissioning date was found, so those fields are blank. It has no TOP500 entry that we found.
Timeline
No dated events recorded.
Site & facility
Change history
- 2026-10-02 Added Killarney, the Vector Institute's PAICE AI cluster with 752 L40S and H100 GPUs
Source check
We fetched this system's own citations and recorded whether each page actually mentions it. This is a corroboration signal, not a fact check, and it is published so you can see how well the sourcing holds up rather than take it on trust.
| Cited source | Result | Found on the page |
|---|---|---|
| alliancecan.ca | names system only | - |
| alliancecan.ca | names system, part and count | NVIDIA L40S, NVIDIA H100 SXM5 · counts: 672, 80 |
Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.