NVIDIA & Marlowe: Workload Performance and Health Monitoring in Data Centers

Wednesday, May 20, 2026 | 2:00 – 3:30 PM PDT CoDa Building, Room W401, 4th Floor

Abstract

This session explores how to efficiently run and monitor large workloads in hyper-scalars and the kind of telemetry data we can monitor from the Infra and workload side. We will review various tools offered by NVIDIA to monitor the performance of a workload and how they improve stability with increasing scale.

Speaker

Aparnaa Ramani is an AI Solution Architect working closely with leading AI labs. She collaborates closely with them on optimizing workloads and data center bring-ups with the latest NVIDIA architecture. Before joining NVIDIA, she worked as a GPU kernel developer at Qualcomm. Aparnaa has a Master’s degree from Georgia Tech with focus on statistical ML and Advanced DSP.

Part of the ongoing NVIDIA & Marlowe seminar series.