GPU in EDU

Overview RSVP today to receive your Grub Hub gift card Clemson Lunch & Learn with Vast Data & Cambridge Computer! Clemson's newest High-Performance Computing installation is a GPU Direct architecture connecting NVIDIA's newest system, the DGX A100, to a high-performance storage array from VAST Data. This supercomputer is available to you to increase your time-to-results and outcomes from your research. Perhaps you've asked yourself "what benefits are gained when I bypass the CPU and leverage GPU-Direct architecture?" or "what do I need to change about my process or code to leverage this system?" Please join us for an interactive session, we will dive into those questions and more! Schedule 11:15 AM - Order your Grub Hub meal for 12:15pm delivery! 11:30 AM - 12:15 PM - Session 1 Why & When GPU Direct Architectures are Advantageous - Presented by Vast Data Where Does it all Happen at Clemson? - Presented by Palmetto Storage Team 12:15 PM - 12:45 PM - Lunch break w/ Grub Hub 12:45 PM - 1:30 PM - Session 2 Leveraging GPU Direct - Presented by Cambridge Computer Professional Services Team How do we use it? - Hands-on lab with Cambridge, Vast and audience Our team will […]

Overview A follow-up to Cambridge Computer's HPC AI Day @ PEARC 2022 Cambridge is looking forward to uniting industry leaders at Stony Brook University's campus for a 1-day series of presentations and workshops. Location: CEWIT Conference Room Agenda *Times subject to change 8:00 AM - Welcome & Coffee Hour 9:00 AM - Nvidia & Research Computing The DPU - Provide high-level overview Nvidia Latest Product Announcements from GTC including Grace/Hopper, L40 and RTX6000 Nvidia HPC Software Development Kits for AI based models Q&A 10:30AM - **Break** 10:45 AM - Run:ai - Building AI Infrastructure Right 11:30 AM - **LUNCH** 12:30 PM - AMD: CPU Roadmap & Software Stack, ROCm & GPU Review Open source tool for GPU Computing 2:00 PM - **Break** 2:15 PM - CIQ: Rocky Linux & Containers - Singularity Support 3:00 PM - **Break** 3:15 PM - Intel: CPU & HBM Roadmap & Software Research Stack - oneAPI How the Intel® DPC++ Compatibility Tool assists in migrating your existing CUDA code to Data Parallel C++ (DPC++) code About DPC++, based on ISO C++ and incorporates standard SYCL and community extensions to simplify data parallel programming. How the tool ports both CUDA language kernels and library API calls

Cambridge Computer and NVIDIA teamed to lead a seminar last week at Carnegie Mellon University to discuss how new HPC and GPU architectures impact research computing in higher ed. We had a full room plus a bunch of people attending remotely. There was some lively debate and a lot of great ideas shared. We gave our own version of the NVIDIA GTC recap and led a discussion on the new chip architectures (Grace, Hopper, Blackwell). We also had presentations from Nvidia on the various products and services that they offer that are lesser known to their client base. This was a great chance for different stakeholders in the university to get together in person and bat around ideas, common challenges, etc.

Cambridge and NVIDIA had a full house at Harvard Med for the seminar entitled AI Futures at Harvard Medical School. GPU in EDU is a seminar series co-produced by NVIDIA and Cambridge Computer. We travel to universities and research institutions across the country to share ideas and insights related to AI and ML at the intersection of science and IT infrastructure. The content of each session is tailored to the specific interests of the institution hosting the event. Harvard Med chose to focus on deep learning for genomics, NVIDIA software frameworks, and GPU resource management. We'd like to thank our friends at Harvard, Run:ai, and NVIDIA for making this event possible. Their support and collaboration were instrumental in making it a memorable and informative event. Special thanks for Run:ai for co-sponsoring the event and sharing insights into their amazing technology for pooling and scheduling GPU resources. We'd also like to thank Christos Alexiadis (Cambridge) and Eliot Eshelman (NVIDIA) for all their work behind the scenes. Agenda Welcome Session (10:00am - 10:15 am) Presented by: Eliot Eshelman (NVIDIA) & Jose Alvarez (Cambridge) Part 1. Deep Learning & Genomics (10:15 am - 12:30 pm) 10:15 - 11:00 am - Training, Tuning, & Deploying large deep learning models […]

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  

Overview Presentations and discussions about AI and data science in research and education. The morning session will focus on NVIDIA overviews and topics of particular concern to IT Professionals. The afternoon will focus on Researcher workloads with additional presentations from NVIDIA, Cambridge, and CUIT as well as opportunities for open discussion. All are welcome to join throughout the day and to come and go as your schedule allows! Room Location: Davis Auditorium, Schapiro CEPSR About Cambridge Cambridge Computer provides IT infrastructure solutions with a focus on the needs of higher education and research computing. We work with our clients and vendors to specify, sell, and deploy hardware. Projects are as simple as individual workstations and as complex as HPC/GPU compute clusters. About NVIDIA We pioneered accelerated computing to tackle challenges no one else can solve. With NVIDIA, healthcare institutions can harness the power of AI and high-performance computing to define the future of medicine. NVIDIA engineers the most advanced chips, systems, and software for the AI factories of the future. We build new AI services that help institutions create their own AI factories.