Supercomputers/Systems/Kestrel
USA · operational · mixed
Kestrel
Operated by NREL at NREL Golden Campus .
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
- 44.00 PFlop/s
- 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 |
|---|---|---|---|---|---|
| Integrator | - HPE Cray EX | Hewlett Packard Enterprise | - | Verified | sdxcentral.comfedtechmagazine.com |
| Accelerator | - NVIDIA H100 GPUs, four per accelerated node; plus NVIDIA A40 GPUs on 8 visualization nodes | NVIDIA | - | Reported | nlr.gov |
| CPU | - Dual-socket Intel Sapphire Rapids Xeon standard nodes (2,304 nodes, 256 GB each) | Intel | - | Reported | nlr.gov |
| CPU | AMD EPYC 9004 (Genoa) CPUs x86-64 · 96C · 2.4 GHz · TSMC N5 · 360 W Dual-socket AMD Genoa GPU-node hosts (156 nodes, 384 GB each) | AMD | - | Reported | nlr.gov |
| Interconnect | HPE Slingshot-11 Interconnect Dragonfly · 200 Gb/s per port · Around 2 microseconds 200 Gb/s HPE Slingshot dragonfly fabric | Hewlett Packard Enterprise | - | Reported | nlr.gov |
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 |
|---|---|---|---|---|---|
| PUE | 1.04 | 2026-02 | Operator stated | NLR (ex-NREL) ESIF HPC data centre annualized PUE 1.036 (warm-water cooling). Facility hosting Kestrel, not Kestrel alone. Both pages are NLR. | nlr.govnlr.gov |
The read
HPE Cray EX system at the National Renewable Energy Laboratory (NREL, now the National Laboratory of the Rockies) in Golden, Colorado, replacing the Eagle system for the DOE Office of Energy Efficiency and Renewable Energy. The lab's configuration page lists 2,478 compute nodes: 2,304 dual-socket Intel Sapphire Rapids nodes with 256 GB, 156 dual-socket AMD Genoa nodes with four NVIDIA H100 GPUs each, 10 high-memory Intel nodes and 8 Intel nodes with two NVIDIA A40 GPUs, on a 200 Gb/s HPE Slingshot dragonfly fabric with Lustre scratch and project file systems. SDxCentral cites 44 petaflops of computing capacity, treated here as an operator-stated peak figure; no TOP500 entry is recorded. Reported confidence since node counts have changed across phases of the build (the earlier plan cited 132 GPU nodes).
Timeline
No dated events recorded.
Site & facility
Change history
- 2026-10-01 Added Kestrel (NREL)
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 |
|---|---|---|
| nlr.gov | names system only | - |
| sdxcentral.com | names system only | - |
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.