Supercomputers/Systems/Hopper (Yale)
USA · operational · mixed
Hopper (Yale)
Also known as Yale Hopper secure HPC cluster
Operated by Yale University .
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
- -
- 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 |
|---|---|---|---|---|---|
| Accelerator | NVIDIA B200 SXM Accelerators CUDA (Blackwell) · TSMC 4NP · 1,000 W 6 nodes with 8 NVIDIA B200 GPUs each in the gpu partition | NVIDIA | 48 reported | Reported | docs.ycrc.yale.edu |
| Accelerator | - 4 nodes with 8 NVIDIA H200 GPUs each in the gpu partition | NVIDIA | 32 reported | Reported | docs.ycrc.yale.edu |
| Accelerator | - 9 nodes with 4 NVIDIA A5000 GPUs each in the gpu partition | NVIDIA | 36 reported | Reported | docs.ycrc.yale.edu |
| CPU | AMD EPYC 9575F CPUs 64C · 3.3 GHz AMD EPYC 9575F Turin CPUs, 128 cores per node, on B200 nodes | AMD | - | Reported | docs.ycrc.yale.edu |
AI datacenter metrics
Figures beyond an accelerator count, each with who stated it. What can and cannot be compared across AI datacenters.
| Metric | Value | As of | Basis | Note | Source |
|---|---|---|---|---|---|
| Accelerators | 116 accelerators | 2026-10 | Operator stated | Our sum of the gpu partition table (36 A5000, 32 H200, 48 B200); excludes gpu_devel nodes. | docs.ycrc.yale.edu |
The read
Yale's HPC cluster for regulated or other high-risk research data, run by the Yale Center for Research Computing and named for Grace Murray Hopper. The gpu partition lists 9 nodes with four A5000 GPUs, 4 nodes with eight H200 GPUs and 6 nodes with eight B200 GPUs, which sums to 116 GPUs (our arithmetic); a gpu_devel partition adds more. The page says CPU and GPU use on Hopper became free of service-unit charges on 1 July 2026. CPU partitions use Intel Emerald Rapids nodes. No FLOPS, location or power figure is published.
Timeline
No dated events recorded.
Change history
- 2026-10-07 Added Hopper (Yale)
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 |
|---|---|---|
| docs.ycrc.yale.edu | names system, part and count | NVIDIA B200 SXM · counts: 48 |
Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.