Supercomputers/Systems/BNY DGX SuperPOD
USA · operational · ai training
BNY DGX SuperPOD
Operated by BNY .
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
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- Rmax ÷ Rpeak
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- Cores
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- 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 | - Built on the NVIDIA DGX SuperPOD reference architecture; deployed with NVIDIA Professional Services | NVIDIA | - | Reported | blogs.nvidia.combny.com |
| Accelerator | NVIDIA H100 SXM5 Accelerators CUDA (Hopper GH100) · 16,896C · 1.98 GHz · TSMC 4N · 700 W Dozens of NVIDIA DGX H100 systems (exact system and GPU count not published) | NVIDIA | - | Reported | blogs.nvidia.combny.com |
| Interconnect | - NVIDIA InfiniBand networking (generation not stated) | NVIDIA | - | Reported | blogs.nvidia.combny.com |
The read
BNY (formerly BNY Mellon) announced itself as the first global bank to deploy an AI supercomputer built on the NVIDIA DGX SuperPOD reference architecture with DGX H100 systems. Both NVIDIA's blog and BNY's own newsroom, whose pages carry the date 18 March 2024, describe the system as dozens of NVIDIA DGX systems with NVIDIA InfiniBand networking, deployed with NVIDIA Professional Services and completed ahead of typical timelines. Neither source gives an exact DGX or GPU count, a location, or performance figures, so no quantity, site or FLOPS is recorded and the two pages are treated as one joint announcement, which keeps the tier at reported. The status date is the date shown on those pages rather than a verified commissioning date. No TOP500 submission exists.
Timeline
No dated events recorded.
Change history
- 2026-10-01 Added BNY DGX SuperPOD (BNY)
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 |
|---|---|---|
| blogs.nvidia.com | names system and part | NVIDIA H100 SXM5 |
| bny.com | names system and part | NVIDIA H100 SXM5 |
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.
Operating a supercomputer
Acceptance testing, why "installed" and "in production" are six months apart, and the machine lifecycle.