Supercomputers/Systems/SEIRAN
Japan · operational · ai training
SEIRAN
Also known as Tokyo University of Technology SEIRAN
Operated by Tokyo University of Technology at Tokyo University of Technology Hachioji 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
- 3.32 PFlop/s
- Rpeak
- 3.66 PFlop/s
- Rmax ÷ Rpeak
- 90.7%
- Cores
- 15,552
- 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 B200 (DGX BasePOD) | NVIDIA | - | Verified | top500.orgteu.ac.jp |
| Accelerator | NVIDIA B200 SXM Accelerators CUDA (Blackwell) · TSMC 4NP · 1,000 W 12 DGX B200 nodes, 96 NVIDIA B200 GPUs | NVIDIA | 96 reported | Verified | aitc.teu.ac.jptop500.org |
| CPU | Intel Xeon Platinum 8570 CPUs x86-64 · 56C · 2.1 GHz · Intel 7 Intel Xeon Platinum 8570 56C 2.1GHz | Intel | - | Reported | top500.org |
| Interconnect | NVIDIA InfiniBand NDR (Quantum-2) Interconnect Fat tree or dragonfly+ · 400 Gb/s per port · Under 0.6 microseconds Infiniband NDR (NVIDIA Quantum InfiniBand) | NVIDIA | - | Reported | top500.orgteu.ac.jp |
The read
The AI supercomputer of the AI Technology Center at Tokyo University of Technology on the Hachioji campus: 12 NVIDIA DGX B200 nodes (96 Blackwell GPUs) on NVIDIA Quantum InfiniBand, built on the DGX BasePOD reference architecture, with about 0.9 EFLOPS of FP8 AI performance. The university announced the installation on 11 June 2025 and described itself as the first private university in Japan to adopt the DGX B200. TOP500 lists 15,552 cores (Xeon Platinum 8570), Rmax 3.32 PFlop/s and Rpeak 3.66 PFlop/s under Ubuntu 24.04; it entered at 374th on the November 2025 list and was 398th on June 2026. The university's announcement scheduled operations to begin in October 2025.
Timeline
- 2025-06-11 Announced source
- 2025-10 First operational source
- 2025-11 List debut at #374 (November 2025) source
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
- 2026-10-02 Added SEIRAN, Tokyo University of Technology's DGX B200 system, 374th on the November 2025 TOP500
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 B200 SXM, Intel Xeon Platinum 8570, NVIDIA InfiniBand NDR (Quantum-2) · counts: 96 |
| teu.ac.jp | does not name this system | NVIDIA B200 SXM, NVIDIA InfiniBand NDR (Quantum-2) |
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
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.