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 how to use NVIDIA GPUs and GPU-accelerated techniques to efficiently index, update and search massive code-bases with over 100M lines of code. Building an index slashes tokens by nearly 70% without compromising speed or accuracy in vibe coding.
Rohan is a Senior Solutions Architect at NVIDIA, working with enterprise partners on Generative AI adoption. In his previous role, he worked on the autonomous vehicles team at NVIDIA and prior to that, founded a startup working on advanced driver assistance systems (ADAS) for trucking fleets. Rohan earned a Master's degree in Robotic Systems Development from Carnegie Mellon University.
James is a Senior Solutions Architect on the NVIDIA Media and Entertainment SA team focused on the intersection of AI and video games. James earned his Master's degree in Data Analytics from Pennsylvania State University. Outside of work, he is a passionate snowboarder and gamer.
