Supercomputers/Systems/MTS GROM
Russia · operational · ai training
MTS GROM
Also known as MTS GROM DGX SuperPOD
Operated by CloudMTS .
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
- 2.26 PFlop/s
- Rpeak
- 3.01 PFlop/s
- Rmax ÷ Rpeak
- 75.1%
- Cores
- 19,840
- 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 SuperPOD based system (TOP500 manufacturer: NVIDIA) | NVIDIA | - | Reported | top500.orgict.moscow |
| Accelerator | NVIDIA A100 (in DGX A100) Accelerators NVIDIA A100 40GB GPUs in NVIDIA DGX A100 nodes (node and GPU count not published) | NVIDIA | - | Reported | top500.orgict.moscow |
| CPU | AMD EPYC 7742 (Rome) CPUs x86-64 · 64C · 2.25 GHz · 7 nm · 225 W AMD EPYC 7742 64C 2.25GHz (TOP500 listing) | AMD | - | Reported | top500.org |
| Interconnect | - InfiniBand (generation not stated in the TOP500 listing) | NVIDIA | - | Reported | top500.org |
The read
CloudMTS's NVIDIA DGX SuperPOD based AI supercomputer in an MTS data centre in Moscow, offered to customers through the MTS cloud. TOP500 lists NVIDIA DGX A100 nodes with AMD EPYC 7742 64C 2.25GHz CPUs, NVIDIA A100 40GB GPUs and InfiniBand, 19,840 cores, 2.26 PFlop/s Rmax and 3.01 PFlop/s Rpeak; it debuted at rank 240 on the June 2021 list and was last listed at rank 472 in June 2024, which is the basis for the status date. The ict.moscow project card independently confirms the DGX SuperPOD basis and CloudMTS as operator. Neither source gives the DGX node or GPU count, and TOP500 lists no power figure, so none is recorded. The exact data centre location is not published, so the site is left unlocated.
Timeline
Public list appearances
Pointers only: rank and edition, linking to the canonical entry. We do not reproduce list tables. See sourcing policy.
Change history
- 2026-10-02 Added MTS GROM, CloudMTS's DGX SuperPOD in Moscow
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 |
|---|---|---|
| ict.moscow | names system only | - |
| top500.org | names system and part | NVIDIA A100 (in DGX A100), AMD EPYC 7742 (Rome) |
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.