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Data Analytics Nodes - LUMI-D

The LUMI-D partition consists of 16 nodes with large memory capacity, of which 8 nodes also feature Nvidia visualization GPUs. LUMI-D is intended for interactive data analytics and visualization.

Nodes CPUs CPU cores Memory GPUs Disk Network
8 2x AMD EPYC 7742
(2.25 GHz base,
3.4 GHz boost)
128 cores (2x64) 4 TiB none 25 TB SSD 2x200 Gb/s
8 2x AMD EPYC 7742
(2.25 GHz base,
3.4 GHz boost)
128 cores (2x64) 2 TiB 8x NVIDIA A40,
48 GB of memory
14 TB SSD 2x200 Gb/s


The CPUs in LUMI-D are one generation older (Zen 2 / "Rome") than in LUMI-C (Zen 3 / "Milan"). There should be no big problem with software compatibility, though, as only a few new processor instructions related to encryption and virtualization was added to the Zen 3 core. We expect that almost all programs compiled for LUMI-C (e.g. with -march=znver3) will run on LUMI-D with good performance.


The visualization GPU nodes have 8 NVIDIA A40 GPUs each with 10 752 CUDA cores, 336 Tensor cores, 84 RT cores and 48 GiB GDDR6 Memory. The CUDA Toolkit for GPU development is also installed so that it is possible to run and test CUDA code, but the main purpose of these GPUs is visualization, not GPU computing.


The LUMI-D compute nodes each have two 200 Gb/s interfaces to the Slingshot-11 interconnect.

Disk storage

The LUMI-D nodes provide some local disk storage. Additionally, you have access to all the network-based storage options.