Supercomputers/Systems/Tenaya
USA · operational · hpc
Tenaya
Also known as LLNL Tenaya
Operated by Lawrence Livermore National Laboratory at Livermore Computing Center .
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
- 3.41 PFlop/s
- Rpeak
- 4.37 PFlop/s
- Rmax ÷ Rpeak
- 78.0%
- Cores
- 22,656
- 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, ATS-4 early access system | Hewlett Packard Enterprise | - | Verified | hpc.llnl.govtop500.org |
| Accelerator | AMD Instinct MI250X Accelerators ROCm (CDNA 2) · 1.7 GHz · TSMC N6 · 560 W AMD Instinct MI250X, 8 GPU devices per compute node per LLNL (96 in total) | AMD | - | Verified | hpc.llnl.govtop500.org |
| CPU | AMD EPYC 7A53 (Trento) CPUs x86-64 · 64C · 2 GHz · 7 nm · 280 W AMD Trento, 64 cores per node (TOP500: AMD Optimized 3rd Generation EPYC 64C 2GHz) | AMD | - | Reported | hpc.llnl.govtop500.org |
| Interconnect | HPE Slingshot-11 Interconnect Dragonfly · 200 Gb/s per port · Around 2 microseconds HPE Slingshot 11 | Hewlett Packard Enterprise | - | Verified | hpc.llnl.govtop500.org |
| Operating system | Tri-Lab Operating System Stack Operating systems Linux distribution, RHEL-derived, HPC-tuned · Open source, LLNL-maintained TOSS 4 | Lawrence Livermore National Laboratory | - | Verified | hpc.llnl.govtop500.org |
The read
An early-access system for El Capitan in Livermore's Secure Computing Facility: an HPE Cray EX cluster of AMD Trento CPUs and AMD Instinct MI250X GPUs on Slingshot-11 under TOSS 4 and the Flux scheduler. TOP500 lists 22,656 cores, Rmax 3.41 and Rpeak 4.37 PFlop/s, first appearing 200th in June 2022 and listed 391st in June 2026. LLNL's platform page gives 24 nodes (2 login, 22 debug), 1,536 CPU cores, 96 GPU devices at 8 per compute node, 4.368 PFlop/s combined peak, ATS-4/EA and CORAL-2 class under the ASC programme, commissioned 2022; the two sources agree on peak.
Timeline
Public list appearances
Pointers only: rank and edition, linking to the canonical entry. We do not reproduce list tables. See sourcing policy.
Site & facility
Livermore Computing Center
- Location
- Livermore, CA, USA
- Cooling
- Direct liquid cooling (warm water)
- Commissioned
- 1996
Change history
- 2026-10-04 Added Tenaya (llnl)
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 |
|---|---|---|
| hpc.llnl.gov | names system and part | Tri-Lab Operating System Stack |
| top500.org | names system and part | AMD EPYC 7A53 (Trento), AMD Instinct MI250X, HPE Slingshot-11 |
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.