Supercomputers/Systems/IARA
Brazil · operational · ai training
IARA
Also known as SiDi IARA
Operated by SiDi .
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
- 3.66 PFlop/s
- Rpeak
- 4.13 PFlop/s
- Rmax ÷ Rpeak
- 88.6%
- Cores
- 24,800
- 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 | - NVIDIA DGX A100 (TOP500 manufacturer: Nvidia) | NVIDIA | - | Verified | top500.orgsidi.org.br |
| Accelerator | NVIDIA A100 (in DGX A100) Accelerators 25 NVIDIA DGX A100 systems | NVIDIA | 25 reported | Verified | top500.orgsidi.org.br |
| CPU | - AMD EPYC 7742 64C 2.25GHz | AMD | - | Reported | top500.org |
| Interconnect | - NVIDIA Mellanox InfiniBand | NVIDIA | - | Verified | top500.orgsidi.org.br |
The read
NVIDIA DGX A100 cluster at the SiDi institute in Brazil, built through the Samsung partnership. TOP500 lists 24,800 cores of AMD EPYC 7742 with NVIDIA A100 SXM4 40GB GPUs on InfiniBand running Ubuntu, 3.66 PFlop/s Rmax and 4.13 PFlop/s Rpeak, first entering in June 2021 at 111th and ranking 234th in June 2024 (entry recorded here). SiDi describes 25 interconnected NVIDIA DGX A100 systems on NVIDIA Mellanox InfiniBand, 1.5 PB of storage, a claimed 125 PFlops of AI performance and the 111th TOP500 position.
Timeline
Public list appearances
Pointers only: rank and edition, linking to the canonical entry. We do not reproduce list tables. See sourcing policy.
Change history
- 2026-10-02 Added IARA, SiDi
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, part and count | NVIDIA A100 (in DGX A100) · counts: 25 |
| sidi.org.br | names system, part and count | NVIDIA A100 (in DGX A100) · counts: 25 |
Checked 2026-10-09 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
Latency-optimised versus throughput-optimised processors, NUMA, and the end of the host-to-device copy.
The interconnect
Topologies, why latency and tail behaviour matter more than bandwidth, and how the fabric market consolidated.