Supercomputers/Systems/Gilbreth (Purdue)
USA · operational · mixed
Gilbreth (Purdue)
Also known as Gilbreth community cluster
Operated by Purdue University .
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
- -
- 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 A100 GPUs (40 GB and 80 GB variants) across sub-clusters G, I, J, K and N | NVIDIA | 226 reported | Reported | rcac.purdue.edu |
| Accelerator | - NVIDIA A30 24 GB GPUs across sub-clusters B and D | NVIDIA | 72 reported | Reported | rcac.purdue.edu |
| Accelerator | - NVIDIA A10 24 GB GPUs in sub-cluster H, 3 per node on 16 nodes | NVIDIA | 48 reported | Reported | rcac.purdue.edu |
| Accelerator | - NVIDIA H100 GPUs in sub-clusters L and M | NVIDIA | 12 reported | Reported | rcac.purdue.edu |
| Interconnect | - 100 Gbps InfiniBand connects all nodes | NVIDIA | - | Reported | rcac.purdue.edu |
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 | 358 accelerators | 2026-10 | Operator stated | Our sum of the sub-cluster table (226 A100, 72 A30, 48 A10, 12 H100); excludes four front-end nodes with one A30 each. | rcac.purdue.edu |
The read
Purdue's GPU community cluster run by Purdue's Research Computing group (RCAC). The hardware table lists ten sub-clusters on 100 Gbps InfiniBand with 135 GPU nodes in total: A30 (72 GPUs across sub-clusters B and D), A100 in 40 GB and 80 GB variants (226 GPUs across G, I, J, K and N), A10 (48 GPUs in H) and H100 (12 GPUs in L and M), plus four front-end nodes with one A30 each. That is 358 compute GPUs by our arithmetic. Sub-clusters retire between 2026 and 2029 per the page. No FLOPS figure is published.
Timeline
No dated events recorded.
Change history
- 2026-10-07 Added Gilbreth (Purdue)
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 |
|---|---|---|
| rcac.purdue.edu | names system only | - |
Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.