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 talk will cover NVIDIA’s new wave of open AI models, data and tooling that enable researchers to build high‑performance, domain‑specialized systems. It will explore NVIDIA’s Nemotron family and broader open model ecosystem. From open weights and reproducible training recipes to safety, evaluation and deployment workflows, we will present how open models are accelerating innovation across language, robotics, biology, and agentic AI applications!
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!
