麻豆村

A $4.9-million award from the National Science Foundation has funded an upgrade to 鈥檚 flagship Bridges-2 supercomputer. The grant allows the center to add late-model powerful NVIDIA H100 graphics processing units (GPUs) to the system, further enhancing its ability to support research in and requiring artificial intelligence (AI), particularly in the context of massive data and high-performance computing (HPC).

鈥淏ridges-2 is very popular with the scientific community,鈥� said , director of PSC. 鈥淭his expansion improves this already positive experience by offering more options for AI workloads. We can鈥檛 wait to see the science impact these new servers will enable.鈥�

NSF initially awarded $10 million to PSC to build Bridges-2, which began production operations in 2021. In addition to massive Big Data and 鈥渢raditional鈥� HPC problems, the system was designed to supercharge development and application of AI methods, including machine learning (ML), to a range of scientific challenges of unprecedented scope and complexity.

Specifically, the new NSF award will add to Bridges-2 a pod of ten HPE Cray 670 nodes, with 8 H100-SXM5-80GB GPUs and 2 TB node memory each, interconnected by a high-performance Infiniband network. It will also enhance the data capacity and I/O performance of the Bridges-2 three-tiered filesystem, to support the expected increase in machine learning and data-intensive workflows.

鈥淏ridges-2 has already enabled many impactful ML projects and projects involving ML and HPC using the existing V100-based GPU nodes,鈥� said , PhD, Director of Support for Scientific Applications at PSC and Principal Investigator in the Bridges-2 project. 鈥淎ugmenting this capability with H100-based GPU nodes will significantly improve the performance of our community鈥檚 ML and HPC workloads.鈥�

The quantitative jump in performance afforded by the new GPU nodes will enable scientific breakthroughs that are currently out of reach, in fields such as:

• safe and trustworthy AI
• image and speech classification
• biomedical discovery and health care research
• molecular and materials discovery
• environmental and sustainability research

The enhanced capacity and capability of the Bridges-2 GPU and data storage resources will also benefit the NSF effort to pilot the implementation of the National AI Research Resource (NAIRR) program, in which both Bridges-2 and PSC鈥檚 advanced AI supercomputer, Neocortex, are already resources. Along with enhanced performance, the new nodes will introduce innovative training and outreach capabilities and initiatives to the AI/HPC community and the NAIRR Pilot Project, in partnership with NVIDIA and HPE.