Supercomputers/Systems/Zhores
Russia · operational · ai training
Zhores
Also known as Zhores Alferov supercomputer
Operated by Skoltech .
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
- 1.02 PFlop/s
- Rmax ÷ Rpeak
- -
- Cores
- -
- 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 | - Dell PowerEdge C6400 and C4140 servers | Dell Technologies | - | Reported | arxiv.org |
| Accelerator | NVIDIA Tesla V100 Accelerators CUDA (Volta GV100) · 5,120C · 1.53 GHz · 12 nm · 300 W NVIDIA Tesla V100 GPUs, four in each of 26 GPU nodes with NVLink | NVIDIA | 104 reported | Reported | arxiv.orgskoltech.ru |
| CPU | - Intel Xeon Gold 6136 and 6140 (Skylake) CPUs | Intel | - | Reported | arxiv.org |
| Interconnect | Mellanox InfiniBand EDR Interconnect Fat tree · 100 Gb/s per 4x port · About 0.9 microseconds Mellanox EDR InfiniBand SB7800/7890 switches, 100 Gbit/s | NVIDIA | - | Reported | arxiv.org |
The read
Skoltech's petaflops-class GPU supercomputer for machine learning and data-driven modeling, hosted at the Dataline data processing centre and presented on 10 January 2019. The authors' paper lists 44 CPU nodes with Xeon Gold 6136 and 6140 CPUs and 26 GPU nodes with four NVIDIA V100 GPUs each (104 GPUs), Mellanox EDR InfiniBand, Dell PowerEdge C6400 and C4140 servers and 0.6 PB of GPFS, with an overall Rpeak of 1,018.2 TFlop/s (811.2 TFlop/s from the GPU nodes). The paper's Linpack runs (496 TFlop/s on the GPU nodes only) are partial and not a TOP500 submission, so no Rmax is recorded. Ranked 6th on the Russia and CIS TOP-50 list in 2018. Both cited sources are from the operator, so the tier is reported.
Change history
- 2026-10-02 Added Zhores, Skoltech's V100 AI supercomputer
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 |
|---|---|---|
| arxiv.org | names system only | - |
| skoltech.ru | names system and part | NVIDIA Tesla V100 |
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.