LUMI-G
LUMI provides GPU computing to European researchers and industry through its accelerated partition.
LUMI-G is an operational GPU cluster run by LUMI consortium in Kajaani, Finland. It has 11,912 AMD Instinct MI250X GPUs installed.
Facts
Source per value- Owner / operator Organization that owns or operates the GPUs. Hosting and facility roles are listed under Partners.
- LUMI consortium 1
- GPU maker NVIDIA, AMD or Intel, taken from the GPU model.
- AMD 2
- GPU model Accelerator model or family as disclosed. A GH200 is one GPU on a superchip; an MI300A is an APU that contains a GPU.
- AMD Instinct MI250X 2
- GPUs installed Physical GPUs in the cluster, from the operator or a deterministic sum of disclosed quantities (nodes × GPUs per node). Planned counts, H100-equivalents and unaudited press totals are never counted here.
- 11,912 2
- GPU count notes What the count covers (one partition, one site, a design limit), qualifiers and competing figures.
- Derived physical packages: 2,978 GPU nodes × 4 MI250X; two dies per package are not double-counted. 2
- Location City, region and country where the cluster sits. Empty when the operator does not name the site.
- Kajaani, Finland 1
- Country Country of the cluster, taken from the location.
- Finland 1
- Live power MW Power in service, in megawatts of IT load where the source says so. Company figures are marked in the notes; Epoch AI satellite estimates are labelled as estimates.
- Not published
- Status operational = running and named as such by the operator or a primary source; partly operational = a phase is live and more is coming; under construction = building underway; announced = disclosed or contracted with no confirmed go-live.
- operational 1
- Status notes The source’s wording on status, with the date.
- Listed in the operator’s current user documentation. 1
- Compute nodes nodes Compute nodes in the system or partition.
- 2,978 2
- HPL performance PFLOP/s Linpack (HPL) result, as published.
- 379.7 2
Sources
- lumi-supercomputer.eu accessed 2026-11-11
- docs.lumi-supercomputer.eu accessed 2026-11-11
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