This round has been closed as all proposals have been handled.
This round is focusing on industrial and business partners of PDC, and
as such only agreed upon business projects will be granted. Please
contact Gert (gert@kth.se) or Michaela (caela@kth.se) for more
information.
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-GH is the accelerated partition based on nVIDIA GraceHopper GPUs. It has an accompanying Lustre storage system. The nodes are interconnected using Slingshot HPC Ethernet.
A new high-performance GPU resource is now accessible on the Dardel supercomputer at PDC, providing 20,000 GPU hours per month. Eight additional nodes have been purchased, each equipped with four NVIDIA Grace Hopper (H100) GPUs and four NVIDIA Grace ARM CPUs—totalling 32 Grace Hopper Superchips. This state-of-the-art platform combines the performance of the Hopper GPU with the energy-efficient Grace ARM CPU, designed for demanding AI and high-performance computing (HPC) workloads.
The Grace Hopper resource is exclusively available to projects under the Medium compute category, with priority given to users running codes not currently supported on Dardel's AMD GPUs. If there is a need to run unique or specialized software, this new system offers a significant opportunity for improved performance.
Important:
For users with an existing Medium project on Dardel with a need to use dardel-GH resource, submit a continuation of your existing Medium project (you can submit a continuation event if your project is not finished).
For further details or support with the application process, please contact the NAC-WG.
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.
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.
Click above to show more information about the resource.
