Supercomputers/Systems/NVIDIA DGX SuperPOD (A100)
USA · operational · ai training
NVIDIA DGX SuperPOD (A100)
Also known as DGX SuperPOD DGX A100
Operated by NVIDIA at NVIDIA (undisclosed US site) .
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
- 2.36 PFlop/s
- Rpeak
- 2.81 PFlop/s
- Rmax ÷ Rpeak
- 84.0%
- Cores
- 19,840
- Power
- 89.94 kW
- Per watt
- 26.2 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 | - NVIDIA DGX A100 SuperPOD | NVIDIA | - | Reported | top500.org |
| Accelerator | NVIDIA A100 (in DGX A100) Accelerators NVIDIA A100 in NVIDIA DGX A100 | NVIDIA | - | Reported | top500.org |
| CPU | AMD EPYC 7742 (Rome) CPUs x86-64 · 64C · 2.25 GHz · 7 nm · 225 W AMD EPYC 7742 64C 2.25GHz | AMD | - | Reported | top500.org |
| Interconnect | NVIDIA InfiniBand HDR Interconnect Fat tree or dragonfly+ · 200 Gb/s per port · About 0.6 microseconds Mellanox HDR Infiniband | NVIDIA | - | Reported | top500.org |
| Operating system | Ubuntu Server Operating systems Linux distribution · Open source, free with paid support tiers Operating System: Ubuntu 20.04.1 LTS | Canonical | - | Reported | top500.org |
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 |
|---|---|---|---|---|---|
| IT power | 0.09 MW | 2020-11 | Operator stated | TOP500 power field, 89.94 kW with power measurement level 2 during the Linpack run; system power, not facility. | top500.org |
The read
A small DGX A100 SuperPOD module that NVIDIA submitted to the TOP500 separately from Selene: AMD EPYC 7742 hosts, A100 GPUs and HDR InfiniBand, 2.36 PFlop/s Rmax with a level-2 power measurement of 89.94 kW. It was listed from November 2020 (rank 170) to November 2024 (rank 476). TOP500 is the only source; node and GPU counts are not published.
Timeline
Public list appearances
Pointers only: rank and edition, linking to the canonical entry. We do not reproduce list tables. See sourcing policy.
Site & facility
Change history
- 2026-10-09 Added NVIDIA DGX SuperPOD (A100)
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 |
|---|---|---|
| top500.org | names system and part | NVIDIA A100 (in DGX A100), AMD EPYC 7742 (Rome), NVIDIA InfiniBand HDR, Ubuntu Server |
Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.
Further reading
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.
Programming a supercomputer
The software stack beneath the application, and why the OS is now a sovereignty signal as much as a technical choice.