Grace Gong will be presenting on "Intro to GPU infrastructure", covering the systems behind production AI workloads, including GPU compute, networking, orchestration, and reliability.
Speaker Biography:
Grace Gong is an engineer at Microsoft focused on AIOps and reliability across Azure. She previously worked on the Microsoft Fabric data platform as a product manager and on machine learning and large language model observability at Datadog. She is finishing up her master’s in computer science at Georgia Tech and is part of the founding NVIDIA Developer Champions cohort. Grace enjoys making technical concepts accessible through talks, mentoring, and hands-on learning. In this IEEE Seattle workshop, she’ll introduce GPU fundamentals and explain how GPUs support modern AI workloads.
(https://www.linkedin.com/in/1gracegong/)
Virtual: https://events.vtools.ieee.org/m/579987
