Supercomputers/Systems/Great Lakes
USA · operational · mixed
Great Lakes
Also known as U-M Great Lakes
Operated by University of Michigan .
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
- 860.00 TFlop/s
- Rpeak
- 1.32 PFlop/s
- Rmax ÷ Rpeak
- 65.2%
- 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 EMC PowerEdge C6420 compute, R640 high-memory and R740 GPU nodes | Dell Technologies | - | Verified | top500.orgnextplatform.com |
| Accelerator | NVIDIA Tesla V100 Accelerators CUDA (Volta GV100) · 5,120C · 1.53 GHz · 12 nm · 300 W NVIDIA Tesla V100 GPUs in R740 nodes | NVIDIA | - | Verified | top500.orgnextplatform.com |
| CPU | - Intel Xeon Gold 6154 18C 3 GHz per TOP500 | Intel | - | Reported | top500.org |
| Interconnect | NVIDIA InfiniBand HDR Interconnect Fat tree or dragonfly+ · 200 Gb/s per port · About 0.6 microseconds Mellanox HDR InfiniBand fabric with HDR100 to the nodes | NVIDIA | - | Verified | top500.orgnextplatform.com |
| Storage | - DDN GRIDScaler 14KX with 100 TB of Infinite Memory Engine | DDN | - | Reported | top500.org |
The read
The University of Michigan's shared HPC cluster for thousands of researchers, built by Dell EMC as lead vendor (about 4.8 million dollars) with Mellanox HDR/HDR100 InfiniBand and DDN GRIDScaler 14KX storage with 100 TB of Infinite Memory Engine. Nodes are PowerEdge C6420 compute, R640 high-memory and R740 GPU servers with NVIDIA Tesla V100 GPUs; Next Platform reports about 13,000 cores and scheduled a late-2019 start for users, while TOP500 lists the installation year as 2018 with Xeon Gold 6154 18C, 16,960 cores, 0.86 PFlop/s Rmax and 1.32 PFlop/s Rpeak. The core counts differ between sources, so no core figure is recorded and no go-live date is asserted. Later additions such as A100 and A40 nodes are not covered by these sources.
Timeline
No dated events recorded.
Change history
- 2026-10-02 Added Great Lakes (University of Michigan)
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 |
|---|---|---|
| nextplatform.com | names system only | - |
| top500.org | names system and part | NVIDIA Tesla V100, NVIDIA InfiniBand HDR |
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.