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Speaker "Lan Vu" Details Back

 

Topic

Machine Learning on VMware vSphere with NVIDIA GPUs

Abstract

Efficient deployment of GPU-based machine learning, especially deep learning, in cloud environments is an important focus of research and development. As the leader in cloud infrastructure software, VMware provides multiple solutions that optimize performance and enhance flexibility for machine learning workloads. We'll present the results of our research on machine learning with NVIDIA GPUs on VMware's vSphere platform. You will learn different ways to deploy GPU-based workloads developed with popular machine learning frameworks like TensorFlow in a virtualized environment using VMware DirectPath I/O and NVIDIA GRID vGPU solutions. We'll discuss how to mix workloads to maximize resource utilization and deployment flexibility by running machine learning together with other workloads on the same server. Finally, we'll present the performance characteristics of machine learning with GPUs for multiple use cases and at different scales in virtualized cloud data centers.

Profile

Lan Vu is working on performance engineering at VMware, focusing on optimizing performance and scalability of virtual desktop infrastructure solutions, including 3D graphics, Horizon View, Horizon Air, and App Volumes. Previously, Lan worked at Parallel Distributed System Labs, University of Colorado, Denver, with a research focus on high-performance methods in data mining and machine learning. She holds a Ph.D. in Computer Science and Information Systems from the University of Colorado, Denver. She has published more than 10 journal and conference research articles and has been granted 1 patent.