Berzelius Ampere is an NVIDIA® SuperPOD consisting of 94 NVIDIA® DGX-A100 compute nodes supplied by Atos/Eviden and 8 CPU nodes also supplied by Eviden. The original 60 "thin" DGX-A100 nodes are each equipped with 8 NVIDIA® A100 Tensor Core GPUs, 2 AMD Epyc™ 7742 CPUs, 1 TB RAM and 15 TB of local NVMe SSD storage. The A100 GPUs have 40 GB on-board HBM2 VRAM. The 34 newer DGX-A100 nodes "fat" are each equipped with 8 NVIDIA® A100 Tensor Core GPUs, 2 AMD Epyc™ 7742 CPUs, 2 TB RAM and 30 TB of local NVMe SSD storage. The A100 GPUs have 80 GB on-board HBM2 VRAM. The CPU nodes are each equipped with 2 AMD Epyc™ 9534 CPUs, 1.1 TB RAM and 6.4 TB of local NVMe SSD storage.
Fast compute interconnect is provided via 8x NVIDIA® Mellanox® HDR per DGX connected in a non-blocking fat-tree topology. In addition, every node is equipped with NVIDIA® Mellanox® HDR dedicated storage interconnect.
All nodes have a local disk where applications can store temporary files. The size of this disk (available to jobs as `/scratch/local`) is 15 TB on "thin" nodes, 30 TB on "fat" nodes, and 6.4 TB on CPU nodes, and is shared between all jobs using the node.
More information about Berzelius Ampere @ NSC
Open Round
At this moment, you can apply for access to this resource in the following round:
LiU Berzelius 2025
Apply to this round for a project on the Berzelius SuperPOD at NSC. Berzelius is not a NAISS system. It is a direct donation to NSC from the Knut and Alice Wallenberg foundation (KAW). Projects with financial support from KAW should have priority according to the donation letter.
To be granted resources on Berzelius, both the Principal Investigator (PI) — defined here as the main applicant in SUPR — and the project must meet the conditions stated here.
Formerly known as "Berzelius Compute". Applications are normally evaluated during the last week each month
See further information.