Accelerating Machine Learning on VMware vSphere with NVIDIA GPUs

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In this video from the 2019 Stanford HPC Conference, Mohan Potheri from VMware presents: Accelerating & Optimizing Machine Learning on VMware vSphere leveraging NVIDIA GPUs.

This session introduces machine learning on vSphere to the attendee and explains when and why GPUs are important for them. Basic machine learning with Apache Spark is demonstrated. GPUs can be effectively shared in vSphere environments and the various methods of sharing are addressed here. We will explore features like suspending/resuming a VM that has GPUs attached to it, for sharing of those resources. Compelling use cases were developed leveraging vSphere’s GPU capabilities. These use cases showcase deep learning with GPGPUs for image processing, stock prediction and distributed training. References to various technical papers will be given.”

Mohan Potheri is VCDX#98 and has more than 20 years in IT infrastructure, with in depth experience on VMWARE virtualization. He currently focuses on evangelization of “High Performance Computing (HPC)” and “Big Data” Virtualization on vSphere. He also has extensive experience with business-critical applications such as SAP, Oracle, SQL and Java across UNIX, Linux and Windows environments. Mohan Potheri is an expert on SAP virtualization and has been a speaker in multiple VMWORLD and PEX events. Prior to VMWARE, Mohan worked at many large enterprises where he has engineered fully virtualized HPC Solutions. He has planned, designed, implemented and managed robust highly available, DR compliant virtual environments in UNIX and x86 environments.

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