GPU in EDU

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.

Join Cambridge Computer, NVIDIA, and the UW-IT Research Computing Team for a day of innovation and learning at the University of Washington. This hybrid event is part of our national GPU in EDU Seminar Series, focusing on the expanding role of AI and data science in academic research and education. What to Expect: Expert Presentations on reproducible software pipelines, GPU computing services, and NVIDIA RAPIDS Hands-on Demonstrations showcasing practical GPU implementations Networking Opportunities with industry leaders and academic researchers Q&A Sessions with Cambridge, NVIDIA, and UW-IT specialists Featured speakers include Dr. Christopher Simmons (Cambridge Computer), Dr. Melisa Alkan (NVIDIA), and Dr. Kristen Finch (UW-IT Research Computing). Whether you're new to GPU computing or scaling advanced research, this seminar offers valuable insights for accelerating your research workflows. Visit Event Page to Register → All registrants will receive Zoom meeting information for remote participation.

Join us for a morning of insights and discussion with Cambridge and NVIDIA at the "GPU in EDU" Breakfast Meetup & Panel Discussion. Breakfast & Latte Services 7:00 AM - 10:00 AM Panel with Harvard Medical School & University of California, San Francisco 8:00 AM - 9:30 AM Q&A 9:30 AM - 10:00 AM