Supercomputers/Systems/OpenCanvas GPUaaS SP1
Japan · operational · ai training
OpenCanvas GPUaaS SP1
Also known as NTT DATA OpenCanvas GPUaaS SP1
Operated by NTT DATA Japan .
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
- 17.53 PFlop/s
- Rpeak
- 19.24 PFlop/s
- Rmax ÷ Rpeak
- 91.1%
- Cores
- 81,648
- 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 SuperPOD (manufacturer listed as Nvidia) | NVIDIA | - | Verified | top500.orgnttdata.com |
| Accelerator | NVIDIA B200 SXM Accelerators CUDA (Blackwell) · TSMC 4NP · 1,000 W NVIDIA B200 SXM 180GB, eight per DGX B200 | NVIDIA | - | Verified | top500.orgnttdata.com |
| 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 NDR400 (NVIDIA Quantum-2) | NVIDIA | - | Verified | top500.orgnttdata.com |
| Operating system | Ubuntu Server Operating systems Linux distribution · Open source, free with paid support tiers Ubuntu 24.04.2 LTS | Canonical | - | Reported | top500.org |
The read
NTT DATA Japan's private-cloud GPU-as-a-service platform for large-scale machine learning, built as an NVIDIA DGX SuperPOD of DGX B200 systems (eight Blackwell GPUs each) joined by NVIDIA Quantum-2 InfiniBand. NTT DATA's own pages state a service launch in October 2025 in Japanese data centers and, in its SC25 announcement of 19 November 2025, an HPL result of 17.5 PFlop/s against 19.2 PFlop/s theoretical; TOP500 lists the same system with Intel Xeon Platinum 8570 hosts, 81,648 cores, Rmax 17.53 and Rpeak 19.24 PFlop/s at rank 105 on November 2025 and rank 124 on June 2026. The data center is not named and no GPU count is published.
Timeline
- 2025-03-19 Announced source
- 2025-10 First operational source
- 2025-11 List debut at #105 (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.
Change history
- 2026-10-04 Added OpenCanvas GPUaaS SP1, NTT DATA's DGX B200 SuperPOD
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 B200 SXM, Intel Xeon Platinum 8570, NVIDIA InfiniBand NDR (Quantum-2), Ubuntu Server |
| nttdata.com | names system and part | 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.