PSC is pleased to announce that the Bridges-2 team just added three (3) additional nodes to Bridges-2! These HPE DL380aG12 nodes, each with eight (8) L40S-48GB GPUs and 1 TB node memory, are interconnected by a high-performance Infiniband network to the Bridges-2 system. These nodes are great for inference, fine‑tuning, and mixed AI + visualization tasks.
Bridges-2 now has four types of GPU nodes: v100-16, v100-32, l40s-48, and h100-80
New nodes:
- Three (3) DL380aG12 nodes, with eight (8) L40S-48GB GPUs each with 48GB of GPU memory and a total of 1TB RAM per node
Recently added nodes:
- Ten (10) HPE Cray 670 h100-80 nodes, with eight (8) H100-SXM5-80GB GPUs each with 80GB of GPU memory and a total of 2TB RAM per node added in January 2025.
Legacy nodes:
- Nine (9) 2-socket Intel Xeon “Skylake” v100-16 nodes containing eight V100 GPUs without NVLink, each with 16GB of GPU memory. These nodes have 192GB RAM per node.
- 24 2-socket Intel Xeon “Cascade Lake” v100-32 nodes with eight V100 GPUs with NVLink, each with 32GB of GPU memory. These nodes have 512GB RAM per node.
Note the memory difference in both System and GPU memory between these types of nodes.
- If your code requires more than 32GB per GPU, specify the h100-80 nodes or l40s-48 nodes. Note: You must explicitly request use of these nodes.
- If your code requires 16-32GB per GPU, specify the v100-32 nodes
- If your code can run on 16GB or less, specify the v100-16 nodes
- If you don’t specify a node type, your job will default to a v100 node.
for an interactive session, use –gres=gpu:type:n
for a batch job, use –gpus=type:n where type is one of v100-16, v100-32, l40s-48, or h100-80.
Should you have any questions or problems, please send email to help@psc.edu and our team will be happy to assist you.
Bridges-2 Team