NVIDIA's GH200 Grace Hopper Superchip offers strong potential for accelerating large-scale AI and HPC workflows through its tightly integrated CPU-GPU architecture. In this talk, we share CU Boulder Research Computing’s first-hand experience providing GH200 nodes to users. We'll cover the GH200 architecture, our approach to the software stack, an overview of our beta testing phase, and successful use cases run on the GH200s. We'll conclude with potential future directions for CURC’s GH200 resources and describe how RMACC members can access the nodes for their research or educational purposes.
The National Artificial Intelligence Research Resource (NAIRR) is a federal initiative aimed at providing researchers with greater access to advanced AI tools, datasets, and computing infrastructure. By connecting academic institutions, national labs, and government agencies, NAIRR is building a shared ecosystem to support AI-driven discovery across scientific disciplines. This talk will highlight the goals of the NAIRR pilot, outline its current offerings, and explore how institutions in the RMACC community can engage with and benefit from this growing national effort.
Many research computing providers are currently working to comply with enhanced data security requirements mandated by U.S. funding agencies to protect Controlled Unclassified Information (CUI) and other sensitive data when used on their cyberinfrastructure. The most common data security frameworks include the National Institute of Standards and Technology (NIST) 800-171 for CUI, the Cybersecurity Maturity Model Certification (CMMC) for defense-related CUI, and the Health Insurance Portability and Accountability Act (HIPAA) for health information. Progress toward compliance with these frameworks is a complex and iterative process, and therefore numerous approaches have been undertaken. This panel discussion provides a forum to share information, experiences, and ideas regarding secure HPC.
