Supercomputers/Systems/NEC AI Research Supercomputer
Japan · operational · ai training
NEC AI Research Supercomputer
Also known as NEC AI supercomputer (cotomi training system)
Operated by NEC .
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 |
|---|---|---|---|---|---|
| Integrator | - 116 Supermicro SYS-420GP-TNAR GPU servers | Supermicro | 116 reported | Reported | prnewswire.com |
| Accelerator | - 928 NVIDIA A100 80GB GPUs: 116 servers with 8 GPUs each | NVIDIA | 928 verified | Verified | sj.jst.go.jpprnewswire.com |
| CPU | Intel Xeon Platinum 8358 CPUs x86-64 · 32C · 2.6 GHz · 10 nm · 250 W Dual Intel Xeon Platinum 8358 (32-core, 2.6 GHz) per server across 116 servers, 1 TB memory per server | Intel | 232 reported | Reported | prnewswire.com |
| Interconnect | - NVIDIA Spectrum SN3700 200 GbE switches and NVIDIA ConnectX-6 adapters | NVIDIA | - | Reported | prnewswire.comprnewswire.com |
| Storage | - DDN ES400NVX EXAScaler appliances, 16 PB, 400 GB/s read and 320 GB/s write | DDN | - | Reported | prnewswire.com |
The read
NEC Corporation's in-house AI research supercomputer, billed as the largest corporate AI research system in Japan: 116 Supermicro GPU servers with eight NVIDIA A100 80GB GPUs each (928 GPUs), dual Intel Xeon Platinum 8358 per server, and more than 580 PFLOPS of AI performance (a low-precision vendor figure, so no Rmax or Rpeak is recorded). DDN ES400NVX EXAScaler appliances provide 16 PB of storage at up to 400 GB/s read, linked by NVIDIA Spectrum SN3700 switches. DDN says the system was already in production in May 2022 with full capacity planned for March 2023; Science Japan (JST, June 2022) says it was scheduled to start operating in March 2023. The site within Japan is not stated in the pages we fetched, so it is left unlocated.
Change history
- 2026-10-02 Added NEC AI Research Supercomputer, 928 A100 GPUs
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 |
|---|---|---|
| sj.jst.go.jp | names system only | - |
| prnewswire.com | names system and part | Intel Xeon Platinum 8358 |
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.
Operating a supercomputer
Acceptance testing, why "installed" and "in production" are six months apart, and the machine lifecycle.
Storage and I/O
Parallel file systems, why checkpointing dominates the write load, and the metadata failure mode nobody expects.