NAISS
SUPR
SUPR
NAISS Large Compute Spring 2023

Decided

This round has already been decided by the committee and is not open for proposals.

See further information.

Resources

Resource Centre Total
Requested
Upper
Limit
Available Unit Note
Alvis C3SE 244 716 175 000 GPU-h/month This resource is only intended for AI/ML research.
This resource is only intended for research on AI/ML or research using AI/ML methods.

The Alvis cluster is a national NAISS resource dedicated to Artificial Intelligence and Machine Learning research.

Note: Significant generation of training data is expected to be done elsewhere.

The system is built around Graphical Processing Units (GPUs) accelerator cards. The first phase of the resource has 160 NVIDIA T4, 44 V100, and 4 A100 GPUs. The second phase is based on 340 NVIDIA A40 and 336 A100 GPUs.

Tetralith NSC 29 021 14 500 x 1000 core-h/month

Tetralith is a general computational resource hosted by NSC at Linköping University.

Tetralith servers have two Intel Xeon Gold 6130 processors, providing 32 cores per server. 1844 of the servers are equipped with 96 GiB of primary memory and 64 servers with 384 GiB. All servers are interconnected with a 100 Gbit/s Intel Omni- Path network which is also used to connect the existing storage. Each server has a local SSD disk for ephemeral storage (approx. 200GiB per thin node, 900GiB per fat node). An IBM Spectrum Scale system comprises the centre storage. 170 of the Tetralith nodes are equipped with one NVIDIA Tesla T4 GPU each as well as a high- performance NVMe SSD scratch disk of 2TB.

Dardel PDC 28 911 28 000 x 1000 core-h/month
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.
Dardel-GPU PDC 45 703 105 000 GPU-h/month
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.

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