Supercomputers/Systems/CNIC Era-AI
China · operational · ai training
CNIC Era-AI
Also known as Era-AI; SCCAS Era-AI
Operated by CNIC, Chinese Academy of Sciences .
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
- 1.24 PFlop/s
- Rpeak
- 1.85 PFlop/s
- Rmax ÷ Rpeak
- 67.1%
- Cores
- 22,656
- Power
- 144 kW
- Per watt
- 8.6 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 | - Sugon W780I GPU cluster built by Sugon | Sugon | - | Reported | top500.org |
| Accelerator | NVIDIA Tesla P100 Accelerators CUDA (Pascal GP100) · 3,584C · 1.48 GHz · 16 nm · 300 W NVIDIA Tesla P100 GPUs | NVIDIA | - | Reported | top500.org |
| CPU | Intel Xeon E5-2650 v4 CPUs x86-64 · 12C · 2.2 GHz · 14 nm Intel Xeon E5-2650 v4 12C 2.2GHz | Intel | - | Reported | top500.org |
| Interconnect | Mellanox InfiniBand FDR Interconnect Fat tree · 56 Gb/s per 4x port · About 1 microsecond InfiniBand FDR interconnect | NVIDIA | - | Reported | top500.org |
The read
A Sugon W780I GPU cluster of Xeon E5-2650 v4 hosts with NVIDIA Tesla P100 accelerators on InfiniBand FDR, submitted to the TOP500 by CNIC at the Chinese Academy of Sciences. It is the GPU and deep-learning companion to the Era system and stayed on the list from November 2017 to June 2020. The TOP500 entry gives no installation site, so none is recorded here.
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
- 2026-10-07 Added CNIC Era-AI
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 |
|---|---|---|
| top500.org | names system and part | Intel Xeon E5-2650 v4, NVIDIA Tesla P100, Mellanox InfiniBand FDR |
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.