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NVIDIA & Marlowe: Workload Performance and Health Monitoring in Data Centers | Stanford HAI
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eventWorkshop

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

Status
Past
Date
Wednesday, May 20, 2026 2:00 PM - 3:30 PM PST/PDT
Location
CoDa Building, Room W401, 4th floor, 389 Jane Stanford Way, Stanford, CA 94305
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Event Contact
sophican@stanford.edu

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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.

Special Speaker | Aparnaa Ramani

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.