Supercomputers/Systems/Puma (Arizona)
USA · operational · hpc
Puma (Arizona)
Also known as UArizona Puma
Operated by University of Arizona .
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
- 30,720
- 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 |
|---|---|---|---|---|---|
| Integrator | - Penguin Computing Altus XE2242 servers | Penguin Computing | - | Reported | hpcdocs.hpc.arizona.edu |
| Accelerator | - 56 NVIDIA V100S GPUs, 4 per GPU node | NVIDIA | 56 reported | Reported | hpcdocs.hpc.arizona.edu |
| Accelerator | - 4 NVIDIA A100 40GB GPUs on one node, each split into two MIG slices | NVIDIA | 4 reported | Reported | hpcdocs.hpc.arizona.edu |
| CPU | - AMD EPYC 7642 48-core Rome, two per node | AMD | - | Reported | hpcdocs.hpc.arizona.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 | 60 accelerators | 2026-10 | Operator stated | 36 standard plus 24 buy-in GPUs per the page's GPU node table (V100S plus four A100 40GB). | hpcdocs.hpc.arizona.edu |
The read
University of Arizona's HPC cluster bought in 2020: Penguin Altus XE2242 servers with two 48-core AMD EPYC 7642 (Rome) CPUs per node, 300 CPU-only nodes, 15 GPU nodes and 5 high-memory nodes, 169.7 TB of total memory and 25 Gb/s Ethernet RDMA (RoCEv2). The page counts 56 NVIDIA V100S GPUs plus 4 A100 40 GB GPUs each split into two MIG slices, and 60 GPUs in total across standard and buy-in GPU nodes. Core count is the page's total (30,720, which includes high-memory and GPU node CPUs). No FLOPS figure is published.
Timeline
No dated events recorded.
Change history
- 2026-10-07 Added Puma (Arizona)
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.
Every source cited on this page was readable, and none of them mentions this system. They are cited at page granularity, normally because no stable deep link could be found. That is a real weakness in this row and it is why the system carries a confidence tier below verified. See how this check works.
| Cited source | Result | Found on the page |
|---|---|---|
| hpcdocs.hpc.arizona.edu | does not name this system | - |
Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.