Supercomputers/Systems/Jean Zay V100
France · operational · mixed
Jean Zay V100
Also known as Jean Zay (2019); Jean Zay HPE SGI 8600
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
- 4.48 PFlop/s
- Rpeak
- 7.35 PFlop/s
- Rmax ÷ Rpeak
- 61.0%
- Cores
- 93,960
- 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 | - HPE SGI 8600, 1,528 CPU nodes and 261 GPU nodes | Hewlett Packard Enterprise | - | Reported | top500.orgnextplatform.com |
| Accelerator | NVIDIA Tesla V100 Accelerators CUDA (Volta GV100) · 5,120C · 1.53 GHz · 12 nm · 300 W 261 GPU nodes with four Tesla V100 SXM2 each (1,044 GPUs) | NVIDIA | 1,044 reported | Reported | top500.orgnextplatform.com |
| CPU | - Intel Xeon Gold 6248 20C 2.5GHz (Cascade Lake), two per node | Intel | - | Reported | top500.orgnextplatform.com |
| Interconnect | Omni-Path Architecture Interconnect Fat tree · 100 Gb/s per port · About 1 microsecond Intel Omni-Path, quad-rail 400 Gb/s per node | Intel | - | Reported | top500.orgnextplatform.com |
| Storage | - DDN GS18K appliances, IBM Spectrum Scale, 1 PB flash tier | DDN | - | Reported | nextplatform.com |
The read
The original Jean Zay at CNRS IDRIS, procured by GENCI as an AI-capable convergence machine: an HPE SGI 8600 with 1,528 CPU nodes and 261 GPU nodes (four Tesla V100 each), dual Xeon Gold 6248 per node, quad-rail Intel Omni-Path at 400 Gb/s and a 1 PB DDN Spectrum Scale flash tier. TOP500 lists 93,960 cores, Rmax 4.48 and Rpeak 7.35 PFlop/s, debuting 42nd in June 2019; it is a separate row from the later Jean Zay H100 extension.
Timeline
- 2019 First operational source
- 2019-01 Announced source
- 2020-11 List debut at #64 (November 2020) 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
- 2026-10-02 Added Jean Zay V100, the original IDRIS AI-convergence system, 64th on the November 2020 TOP500
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.
Every source cited on this page was readable, and none of them mentions this system. They are cited at page granularity, normally because no stable deep link could be found. That is a real weakness in this row and it is why the system carries a confidence tier below verified. See how this check works.
| Cited source | Result | Found on the page |
|---|---|---|
| top500.org | does not name this system | NVIDIA Tesla V100, Omni-Path Architecture |
| nextplatform.com | does not name this system | NVIDIA Tesla V100, Omni-Path Architecture |
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
Latency-optimised versus throughput-optimised processors, NUMA, and the end of the host-to-device copy.
The interconnect
Topologies, why latency and tail behaviour matter more than bandwidth, and how the fabric market consolidated.