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Node profile description

All nodes below use the x86_64 architecture.

Name GPU Model Mem # CPUs Sockets Cores/Socket Memory (GB) Optimal Bundle (GPU:CPU:RAM) TmpDisk (TB) Slurm Features
GPU Compute Nodes  
cn‑a[001‑011] RTX8000 48 8 40 2 20 384 1:5:47G 3.6 turing,48gb
cn‑b[001‑005] V100 32 8 40 2 20 384 1:5:47G 3.6 volta,nvlink,32gb
cn‑c[001‑040] RTX8000 48 8 64 2 32 384 1:8:47G 3 turing,48gb
cn‑g[001‑029] A100 80 4 64 2 32 1024 1:16:248G 7 ampere,nvlink,80gb
cn‑i001 A100 80 4 64 2 32 1024 1:16:250G 3.6 ampere,80gb
cn‑j001 A6000 48 8 64 2 32 1024 1:16:125G 3.6 ampere,48gb
cn‑k[001‑004] A100 40 4 48 2 24 512 1:12:125G 3.6 ampere,nvlink,40gb
cn‑l[001‑091] L40S 48 4 48 2 24 1024 1:12:250G 7 lovelace,48gb
cn‑n[001‑002] H100 80 8 192 2 96 2048 1:24:268G 35 hopper,nvlink,80gb
DGX Systems  
cn‑d[001‑002] A100 40 8 128 2 64 1024 1:16:124G 14 ampere,nvlink,dgx,40gb
cn‑d[003‑004] A100 80 8 128 2 64 2048 1:16:250G 28 ampere,nvlink,dgx,80gb
cn‑e[002‑003] V100 32 8 40 2 20 512 1:5:62G 7 volta,nvlink,dgx,32gb
CPU Compute Nodes  
cn‑f[001‑004] - - - 32 1 32 256 0:1:7G 10 rome
cn‑h[001‑004] - - - 64 2 32 768 0:1:11G 7 milan
cn‑m[001‑004] - - - 96 2 48 1024 0:1:10G 7 sapphire

Request specific nodes

Feature Particularities
32gb / 40gb / 48gb / 80gb Request a specific amount of GPU memory
volta / turing / ampere Request a specific GPU architecture
nvlink Machine with GPUs using the NVLink interconnect technology
dgx NVIDIA DGX system with DGX OS

Special nodes and outliers

DGX A100

DGX A100 nodes are NVIDIA appliances with 8 NVIDIA A100 Tensor Core GPUs. Each GPU has either 40 GB or 80 GB of memory, for a total of 320 GB or 640 GB per appliance. The GPUs are interconnected via 6 NVSwitches which allow for 600 GB/s point-to-point bandwidth (unidirectional) and a full bisection bandwidth of 4.8 TB/s (bidirectional). See the table above for the specifications of each appliance.

In order to run jobs on a DGX A100 with 40GB GPUs, add the flags below to the Slurm commands:

--gres=gpu:a100:<number> --constraint="dgx&ampere"

In order to run jobs on a DGX A100 with 80GB GPUs, add the flags below to the Slurm commands:

--gres=gpu:a100l:<number> --constraint="dgx&ampere"

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