USA · operational · mixed

Bouchet

Also known as Yale Bouchet HPC cluster

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 7 nodes with 8 NVIDIA B200 GPUs each in the gpu_b200 partition	NVIDIA NVDANASDAQ	56 reported	Reported	docs.ycrc.yale.edu
Accelerator	- 9 nodes with 8 NVIDIA H200 GPUs each in the gpu_h200 partition	NVIDIA NVDANASDAQ	72 reported	Reported	docs.ycrc.yale.edu
Accelerator	- 15 nodes with 4 NVIDIA H100 80GB GPUs each in the gpu_h100 partition	NVIDIA NVDANASDAQ	60 reported	Reported	docs.ycrc.yale.edu
Accelerator	- 7 nodes with 8 NVIDIA RTX PRO 6000 Blackwell GPUs each in the gpu_rtx6000 partition	NVIDIA NVDANASDAQ	56 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 and RTX PRO 6000 nodes	AMD AMDNASDAQ	-	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	244 accelerators	2026-10	Operator stated	Our sum of the gpu_h100, gpu_h200, gpu_b200 and gpu_rtx6000 partition tables (60 H100, 72 H200, 56 B200, 56 RTX PRO 6000); excludes development nodes and unlisted contributed nodes.	docs.ycrc.yale.edu

The read

Yale's shared-use HPC cluster at the Yale Center for Research Computing, named for physicist Edward Bouchet and described as the successor to Grace and McCleary (page last updated 30 September 2026). The public partition tables list 15 H100 nodes with four 80 GB GPUs each, 9 H200 nodes and 7 B200 nodes with eight GPUs each, and 7 RTX PRO 6000 Blackwell nodes with eight GPUs each, which sums to 244 GPUs in those four partitions (our arithmetic); a development partition adds further H200, B200, RTX PRO 6000, RTX 5000 Ada and A40 nodes. CPU partitions use AMD EPYC Turin and Intel Emerald Rapids nodes. Contributed or private nodes are not listed, so the true total is higher. No FLOPS figure is published.

Timeline

No dated events recorded.

Change history

2026-10-07 Added Bouchet (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: 56

Checked 2026-10-09 by pnpm verify. Re-run it and the table changes with the web.