Supercomputers/Systems/UAlbany AI Supercomputer
USA · operational · mixed
UAlbany AI Supercomputer
Operated by University at Albany at UAlbany Uptown Campus Data Center .
Researched with AI assistance, checked by scripts. These rows were researched by AI agents reading public operator, laboratory and vendor sources, appended by scripts and checked by automated validation; no subject-matter expert has reviewed them (how this site is made). A mechanical second-reader pass has since fetched every cited source: 1350 of 1540 systems have a readable citation that names them, and 64 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
- 3.17 PFlop/s
- Rpeak
- 3.85 PFlop/s
- Rmax ÷ Rpeak
- 82.3%
- Cores
- 23,808
- 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 | - 24 NVIDIA DGX systems | NVIDIA | 24 reported | Reported | albany.edutop500.org |
| Accelerator | NVIDIA A100 SXM4 80GB Accelerators 192 NVIDIA GPUs (8 per DGX); TOP500 identifies them as A100 SXM4 80 GB | NVIDIA | 192 reported | Reported | albany.edutop500.org |
| CPU | AMD EPYC 7742 (Rome) CPUs x86-64 · 64C · 2.25 GHz · 7 nm · 225 W AMD EPYC 7742 64C 2.25 GHz | AMD | - | Reported | top500.org |
| Interconnect | NVIDIA InfiniBand HDR Interconnect Fat tree or dragonfly+ · 200 Gb/s per port · About 0.6 microseconds InfiniBand HDR | NVIDIA | - | Reported | top500.org |
| Operating system | Ubuntu Server Operating systems Linux distribution · Open source, free with paid support tiers Ubuntu 22.04.5 LTS | Canonical | - | Reported | top500.org |
The read
The University at Albany's AI supercomputer, unveiled on 10 October 2024 at the RNA Institute: 24 NVIDIA DGX systems with eight GPUs each (192 GPUs) linked by more than three miles of fibre, housed in server cabinets at the Uptown Campus data center, at a stated cost of 16.5 million dollars (the article does not say who funded that sum, though it notes the state's April 2022 award of 75 million dollars to UAlbany set aside half for AI supercomputing). The university calls it among the largest AI supercomputers at a US university and the most capable within SUNY, and frames it as a preview of the separate Empire AI machine in Buffalo rather than part of it; the article names no GPU model, CPU, or benchmark figure. TOP500 (June 2026, 407th; list full for our table so no list row) identifies it as NVIDIA DGX A100 with AMD EPYC 7742 64C, A100 SXM4 80 GB, InfiniBand HDR and Ubuntu 22.04.5, 23,808 cores, Rmax 3.17 and Rpeak 3.85 PFlop/s, installation year 2024.
Site & facility
Change history
- 2026-10-17 Added UAlbany AI Supercomputer
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 |
|---|---|---|
| albany.edu | names system only | · counts: 192 |
| top500.org | names system and part | NVIDIA A100 SXM4 80GB, AMD EPYC 7742 (Rome), NVIDIA InfiniBand HDR, Ubuntu Server |
Checked 2026-10-18 by pnpm verify. Re-run it and the table changes with the web.
Further reading
Operating a supercomputer
Acceptance testing, why "installed" and "in production" are six months apart, and the machine lifecycle.
Inside a node
Why accelerators exist, what the memory hierarchy costs, and how the CPU and accelerator merged onto one package.
The interconnect
Topologies, why latency and tail behaviour matter more than bandwidth, and how the fabric market consolidated.