eventWorkshop
Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026
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This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and will cover the breadth of compute options that are available to researchers at Stanford, including Sherlock, Carina, Nero GCP, and Farmshare.
Zoe Ryan is a Solutions Architect at NVIDIA, working on the Higher Education and Research team. She works with researchers to GPU-accelerate their numerical computing codes, build out robotic simulations, and optimize their code for large-scale runs. She spends one day a week on the Stanford campus. Find her on Slack to talk about your own research!
Bruce McGowan is a Senior Account Manager at NVIDIA, focused on expanding the utilization of NVIDIA's parallel computing AI platform. He accelerates their journeys in artificial intelligence, computational science, embedded computing, and more. He works with West Coast universities from Southern California to Washington.
