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

CPU

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.

GPU

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.

• Nvidia A40 Product Page
• Nvidia A40 Data Sheet

Network

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.