COMPUTE ATLAS Supercomputer supply-chain graph
1153 systems 482 sites Sourced data

Supercomputers/Systems/Mayo Clinic DGX SuperPOD

USA · operational · ai training

Mayo Clinic DGX SuperPOD

Operated by Mayo Clinic at Mayo Clinic Rochester 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
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Rpeak
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Rmax ÷ Rpeak
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Cores
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Power
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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 SuperPOD with NVIDIA DGX B200 systems, Blackwell architecture, deployed as a tightly-integrated AI compute cluster
NVIDIA - Reported kttc.comhitconsultant.net
Accelerator NVIDIA B200 SXM
Accelerators
CUDA (Blackwell) · TSMC 4NP · 1,000 W
NVIDIA DGX SuperPOD with NVIDIA DGX B200 (Blackwell) systems; "the supercomputer has 128 GPUs" per Mayo Clinic Digital Pathology CEO Jim Rogers
NVIDIA 128
reported
Reported kttc.com
Storage -
DDN storage enclosures reported as part of the surrounding infrastructure (alongside Dell servers and Panduit racks); no quantities given
DDN
- Reported rcrwireless.com

The read

Mayo Clinic's first large-scale healthcare deployment of NVIDIA's latest AI silicon: an NVIDIA DGX SuperPOD built from NVIDIA DGX B200 (Blackwell) systems, deployed and announced in late July 2025 to accelerate digital pathology (including the Atlas foundation model built with Aignostics on 1.2 million histopathology whole-slide images), drug discovery and precision-medicine foundation-model work. Local Rochester, MN television coverage (KTTC, citing Mayo Clinic Digital Pathology CEO Jim Rogers) states the system has 128 GPUs and refers to Rochester as the 'Med City' location; the healthcare-IT trade outlet HitConsultant independently confirms the DGX SuperPOD / DGX B200 naming but not the exact GPU count, so this row stays at reported confidence rather than verified. A third outlet, RCR Wireless, additionally reports Dell servers, DDN storage enclosures and Panduit racks around the deployment but does not tie those to specific quantities. No FLOPS figure, core count or power draw was stated in any source fetched, so those fields are left blank rather than estimated.

Timeline

Site & facility

Mayo Clinic Rochester Campus

Location
Rochester, MN, USA

Change history

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 sourceResultFound on the page
hitconsultant.netnames system and partNVIDIA B200 SXM
kttc.comnames system only · counts: 128

Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.

Further reading