Supercomputers/Systems/University of Nottingham Malaysia DGX A100
Malaysia · operational · ai training
University of Nottingham Malaysia DGX A100
Also known as UNM DGX A100
Operated by University of Nottingham Malaysia at University of Nottingham Malaysia Semenyih Campus .
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 (in DGX A100) Accelerators NVIDIA DGX A100 system (one unit), 5 petaflops of AI performance per NVIDIA | NVIDIA | - | Reported | nottingham.edu.mythestar.com.my |
The read
A single NVIDIA DGX A100 system at the University of Nottingham Malaysia campus in Semenyih, Selangor, operational from the end of February 2022 and described by the university as the first DGX A100 deployment in Malaysia, used for AI research, teaching, computer vision, machine learning and scientific computation with Multi-Instance GPU partitioning. Both the university's news release and The Star (7 July 2022) cite the NVIDIA-quoted 5 petaflops of AI performance for the DGX A100; that is a vendor AI-precision figure and is not recorded as FLOPS, and neither source gives the eight-GPU count explicitly, so no quantity is recorded. Malaysia's only entry in this dataset; commercial GPU clouds there (for example YTL AI Cloud in Johor) were not added because no GPU counts are published.
Timeline
- 2022-02 First operational source
Site & facility
University of Nottingham Malaysia Semenyih Campus
- Location
- Semenyih, Malaysia
- Commissioned
- 2022
Change history
- 2026-10-01 Added University of Nottingham Malaysia DGX A100 (University of Nottingham Malaysia)
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 |
|---|---|---|
| nottingham.edu.my | names system and part | NVIDIA A100 (in DGX A100) |
| thestar.com.my | blocked our fetch | - |
Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.