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.

At this moment, you can apply for access to this resource in the following rounds:

You will be apply for access to this resource in the following round later: