Supercomputers/Systems/Dalia
France · operational · mixed
Dalia
Also known as IDRIS Dalia GB200 NVL72
Operated by IDRIS Computing Centre at IDRIS .
Researched with AI assistance, checked by scripts. These rows were researched by AI agents reading public operator, laboratory and vendor sources, appended by scripts and checked by automated validation; no subject-matter expert has reviewed them (how this site is made). A mechanical second-reader pass has since fetched every cited source: 1350 of 1581 systems have a readable citation that names them, and 64 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 |
|---|---|---|---|---|---|
| Integrator | - Supplied by NVIDIA through its French partner Bull | Bull | - | Reported | idris.fr |
| Accelerator | NVIDIA GB200 NVL72 Accelerators Arm CPU + CUDA GPU · TSMC 4NP NVIDIA GB200 NVL72, 18 nodes with four GB200 GPUs each (186 GB HBM3e per node) | NVIDIA | - | Reported | idris.fr |
| CPU | NVIDIA Grace CPUs Armv9 (Neoverse V2) · 72C · 3.1 GHz · TSMC 4N Two 72-core Arm Neoverse-V2 Grace CPUs per node across 18 nodes | NVIDIA | 36 reported | Reported | idris.fr |
| Interconnect | - InfiniBand single-level non-blocking fat tree | NVIDIA | - | Reported | idris.fr |
| Storage | - DDN AI400X2 Turbo array, 500 TB total | DDN | 500 reported | Reported | idris.fr |
The read
Dalia is the NVIDIA GB200 NVL72 prototype installed at IDRIS (Orsay) in summer 2025, which IDRIS calls the first GB200 NVL72 supercomputer put into service in Europe. NVIDIA supplied it through its French partner Bull, and it is meant for scientific AI and HPC benchmarking and 'Grand Challenge' projects. The IDRIS hardware page lists 18 compute nodes, each with two 72-core Grace CPUs (144 cores per node), 1.7 TB of memory and four GB200 GPUs with 186 GB HBM3e per node, so 18 x 4 = 72 GPUs, a full NVL72. The same page's headline says 64 GPUs, which conflicts with its own node table; the 72 total is derived and the 64 is probably a typo, but IDRIS does not say so, so no accelerator count is recorded. Networking is a single-level non-blocking InfiniBand fat tree; storage is 500 TB on a DDN AI400X2 Turbo array over converged Ethernet (eight 200 GbE links, two per compute node). Compute nodes can reach the internet, unlike Jean Zay, and login nodes are Intel Xeon Gold 6530 systems. It sits beside the larger Jean Zay machines at the same centre (jean-zay-h100). No power or FLOPS figure is published on the pages fetched. Both pages belong to IDRIS, so the tier is reported.
Timeline
No dated events recorded.
Change history
- 2026-10-29 Added Dalia (IDRIS)
Related systems
Same site
- Turing (IDRIS) · France, decommissioned, 2012
- Jean Zay V100 · France, operational, 2019
- Jean Zay H100 · France, operational, 2024
Same operator
- IDRIS Cray T3E · France, operational, 1996
Same accelerator
- Carina · USA, operational
- Tyche-hsg · USA, operational
- Hon Hai Kaohsiung Super Computing Center · Taiwan, under construction
- Horizon · USA, under construction
- CoreWeave Vennesla (Bulk N01) · Norway, operational
- MAVERIC · Australia, under construction
Further reading
Inside a node
Why accelerators exist, what the memory hierarchy costs, and how the CPU and accelerator merged onto one package.
Operating a supercomputer
Acceptance testing, why "installed" and "in production" are six months apart, and the machine lifecycle.
The interconnect
Topologies, why latency and tail behaviour matter more than bandwidth, and how the fabric market consolidated.