This one-day event, presented in collaboration with the Minnesota Supercomputing Institute at the University of Minnesota, features Dr. Christopher S. Simmons leading comprehensive sessions that equip academic researchers with a complete framework for implementing reproducible AI and scientific workflows. Visit Event Page to Register → All registrants will receive Zoom meeting information for remote participation and a link to the recorded sessions.
Overview This meeting is the 2nd annual in-person gathering of the GPU Innovators User Community. In our inaugural meeting last year in Atlanta, we packed the room with passionate discussions about NVIDIA's Grace Hopper and Blackwell architectures—the powerhouse hardware that makes today's AI revolution possible. This year, we're taking the next logical step in our community's journey: transitioning from metal to models. TL;DR We'll tackle the questions keeping you up at night—which models fit your research needs, what hardware specifications actually matter, and how to deploy these systems using the open-source tools you already trust. Lunch is served afterwards at the Blues Museum down the street. Intended Audience This talk is designed for research computing professionals, HPC administrators, academic researchers, and AI enthusiasts seeking practical guidance on deploying open-source LLMs, selecting appropriate models, and integrating them into existing research computing infrastructure. Session Description The rapid evolution of open-source large language models presents researchers with unprecedented opportunities to deploy powerful AI capabilities while maintaining complete control over sensitive data and computational workflows. This tutorial addresses the critical challenge facing research computing centers: how to navigate the complex landscape of open-source LLMs to make informed decisions about model selection, hardware requirements, and […]
Description: Join Cambridge and the GW Information Technology (GW IT) team on Thursday, June 18th for an immersive exploration of high-performance computing and artificial intelligence. As part of the national GPU in EDU Seminar Series, Cambridge Computer and GW are bringing their expertise to GWU's Foggy Bottom campus in Washington, DC for an event hosted by the GW Information Technology team. This program is designed for faculty, researchers, and students who are looking to leverage the power of GPUs to accelerate discovery and innovation — supported by GW's high-performance network infrastructure through CAAREN. The day features expert-led presentations and hands-on demonstrations at the forefront of AI and data science in academic research. Whether you are just getting started with GPU computing or looking to scale an existing project, this is your opportunity to connect with industry leaders and GW peers, exchange ideas, and leave with practical strategies to accelerate what comes next.Agenda: GPU in EDU Track 9:15 AM | Morning Welcome - Clark Gaylord (GWU) 9:30 AM | Ensuring Reproducibility in AI: Declarative Tools for Managing Software Stacks and Workflows - Dr. Christopher S. Simmons (Cambridge Computer) 10:30 AM | Short Break 10:45 AM | Tutorial: Implementing Open-Source LLMs in […]