# Deepthought: System Specifications ## SLURM Partition Layout :::{important} The partition list below represents the current hardware that we have that will be available once the remaining hardware has been relocated from the existing cluster ::: | Description | Partition Name | Nodes | Default Run Time | Max Run Time | | ------------------------------ | -------------- | ----- | ----------------------- | ------------------------- | | General Compute (CPU) | general | 12 | 60 minutes (0-01:00:00) | 7 days (7-00:00:00) | | CUDA Compute (GPU) | gpu-cuda | 2 | 60 minutes (0-01:00:00) | 14 days (14-00:00:00) | | High Capacity (CPU) | high-capacity | 5 | 60 minutes (0-01:00:00) | 14 days (14-00:00:00) | | IDS System Support | hpc-support | all | Unlimited | Unlimited | | Michelle Coote Lab | mcoote | 5 | 60 minutes (0-01:00:00) | 14 days (14-00:00:00) | | Open OnDemand Interactive Apps | ood | 4 | 60 minutes (0-01:00:00) | 12 hours (0-12:00:00) | | Short Runtime Jobs | short | 4 | 60 minutes (0-01:00:00) | 1 day (1-0:00:00) | | Teaching | teaching | 4 | 60 minutes (0-01:00:00) | 12 hours (0-12:00:00) | ## Storage Layout * Home Drives (NFS): \~22TB mounted on all nodes * Modules, Software and System Files (NFS): 3TB mounted on all nodes * Semi-persistent Dataset Storage (Ceph): \~150TB mounted on all nodes * Temporary Scratch/Job Storage (BeeGFS): \~250TB mounted on all nodes :::{note} Network Drives (R/T) are available on the login node but not on individual compute nodes ::: ## Node Breakdown - 1x Login Node with 32 Cores / 64 Threads and 384GB of RAM - 16x General Compute Nodes each with 64 Cores / 128 Threads and 768GB of RAM - 5x High Capacity Nodes each with 64 Cores / 128 Threads and 3TB of RAM - 4x NVIDIA L40S GPUs each with 48GB of RAM located in pairs in two of the High Capacity Nodes