This round has already been decided by the committee and is not open for proposals.
To apply, you must be at least an assistant professor at an eligible Swedish institution. NAISS is financed by Swedish tax payers with the objective to strengthen science and research in Sweden. To apply for these resources, you must therefore hold an appointment of at least 60 percent at a Swedish university or research institution recognized by the Swedish Research Council and have been the Principal Investigator of a NAISS Medium project or similar.
Arrhenius CPU contains two CPU node types, 192 thin nodes, and 20 fat nodes. Each node have 256 cores split between two CPU:s. The thin nodes have 768 GB RAM and the fat nodes have 3072 GB RAM. There is a 1.92 TB local SSD on each node. It is accompanied with the Arrhenius Disk and Arrhenius Flash storage systems.
Arrhenius CPU is primarily intended for work that cannot be moved to the much more powerful accelerated computational resource, the Arrhenius GPU. Projects with such needs will be prioritized on Arrhenius CPU.
Arrhenius GPU contains 382 GPU nodes. Each GPU node have 4x Nvidia GH200 GPU:s with 96GB HBM and 128 GB LPDDR Modules. There is a 1.92 TB local SSD on each node. Arrhenius GPU is accompanied with the Arrhenius Disk and the Arrhenius Flash storage systems.
Arrhenius GPU provide the main computational power in the Arrhenius HPC system.
Arrhenius SENS Compute is a resource suitable for projects requiring an increased security level, notably sensitive personal data such as whole human genomes associated with living individuals.
The resource includes CPU and GPU hardware. To simplify administration, GPU usage will be accounted in core-hours at a rate of 50 core-hours per GPU-hour for an Nvidia L40S and 200 core-hours per GPU-hour for an Nvidia H100.
It contains:
Small CPU nodes, each with 2x 128-core AMD EPYC 9745 at 2.4 GHz and 768 GB RAM.
17 Large CPU nodes, each with 2x 128-core AMD EPYC 9745 at 2.4 GHz and 3072 GB RAM.
20 Small GPU nodes, each with 4x Nvidia L40S 48GB GPU's and 2x 32-core AMD EPYC 9335 at 3.0 GHz and 384 GB RAM.
1 Large GPU node, with 4x Nvidia H100 80GB and 2x 32-core AMD EPYC 9335 at 3.0 GHz and 768 GB RAM
Project disk storage for projects with compute allocations on Arrhenius GPU and/or Arrhenius CPU.
Using the Lustre parallel filesystem, it is designed for fast access from Arrhenius GPU and Arrhenius CPU. File contents are stored on spinning disks. The total size of Arrhenius Disk is 25 PB. There is no backup of Arrhenius Disk.
Project flash storage for projects with compute allocations on Arrhenius GPU and/or Arrhenius CPU.
Using the Lustre parallel filesystem, it is designed for fast access from Arrhenius GPU and Arrhenius CPU. File contents are stored on NVMe SSDs, allowing for a higher small random IOPS compared to Arrhenius Disk. The total size of Arrhenius Flash is 2 PB. There is no backup of Arrhenius Flash.
Arrhenius Flash is only for projects that benefit significantly from the higher small random IOPS.
Project storage for projects with compute allocations on the NAISS compute system for sensitive data, Arrhenius SENS Compute.
This resource should only be requested in a proposal together with a request for Arrhenius SENS Compute. NAISS SENS Storage and Compute will only be allocated together in a project and they can only be used together within that project..
The total size of Arrhenius SENS Storage is 10 PB. There is no backup on Arrhenius SENS Storage.
Allocations on Dardel will be scaled and transferred to Arrhenius from 2027-01-01
NAISS will terminate operation of Dardel on 2027-01-01. Allocations will be scaled and transferred to the new NAISS system Arrhenius. It is NAISS best estimate now that there will be a time period with overlapping allocations in November and December 2026.
Dardel is a Cray EX system from Hewlett Packard Enterprise, based on AMD EPYC processors with an accompanying Lustre storage system.
The nodes are interconnected using Slingshot HPC Ethernet.
Allocations on Dardel-GPU will be scaled and transferred to Arrhenius from 2027-01-01
These GPUs are not nVIDIA GPUs but rather AMD GPUs, so if your software runs using CUDA, a certain amount of conversion of the code is needed.
You can read information about this at https://www.lumi-supercomputer.eu/preparing-codes-for-lumi-converting-cuda-applications-to-hip/
NAISS will terminate operation of Dardel-GPU on 2027-01-01. Allocation will be scaled and transferred to the new NAISS system Arrhenius. It is NAISS best estimate now that there will be a time period with overlapping allocations in November and December 2026.
Dardel-GPU is the accelerated partition based on AMD’s Instinct MI250X GPU of the Cray EX system from Hewlett Packard Enterprise. It has an accompanying Lustre storage system.
The nodes are interconnected using Slingshot HPC Ethernet.
Allocations on Klemming will be scaled and transferred to Arrhenius from 2027-01-01.
More information about project directories in Klemming can be found at
https://www.pdc.kth.se/support/documents/data_management/lustre.html.
NAISS will terminate operation of Klemming on 2027-01-01 as the compute resources Dardel, Dardel-GPU and Dardel-GH will be terminated on that date. Allocations will be scaled and transferred to the new system Arrhenius. It is NAISS best estimate now that there will be a time period with overlapping allocations in November and December 2026.
Project storage for NAISS as well as PDC projects with compute allocations on resources hosted by PDC.
Klemming is designed for fast access from compute resources at PCD. It uses the Lustre parallel file system, which is optimized for handling data from many clients at the same time. The total size of Klemming is 12 PB.
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