Data Analytics Nodes¶
Warning
Only the large memory nodes of LUMI-D are available at the moment.
The LUMI-D partition consists of a 16 nodes with large memory capacity and Nvidia GPUs. LUMI-D is intended for interactive data analytics and visualization. It is also a good place run pre- and post-processing jobs that require a lot of memory.
| Nodes | CPU | Memory | GPUs | Disk | Network |
|---|---|---|---|---|---|
| 8 | AMD EPYC 7742 2.25 GHz base 3.4 GHz boost 128 cores (2x64) |
4 TB | none | 25 TB SSD | 2x100 Gb/s |
| 8 | AMD EPYC 7742 2.25 GHz base 3.4 GHz boost 128 cores (2x64) |
2 TB | 8x NVIDIA A40 48 GB of memory |
14 TB SSD | 2x100 Gb/s |
Note: 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.
GPUs¶
The interactive 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 is visualization of these GPUs are visualizing, not GPU computing.