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Introduction

Date: Tuesday, May 23, 2023
Time: 9:00 a.m.–10:00 a.m. PT
Duration: 1 hour


Apache Spark has become the leading framework for large-scale distributed data processing. Retailers are already using it for many core business functions, such as demand forecasting, price optimization, and sales performance analysis. Join the webinar “Improve Retail Business Outcomes With GPU-Accelerated Apache Spark” to learn how NVIDIA can help retailers run workloads 5X faster with up to 4X cost savings on leading platforms such as Google Cloud Dataproc, Amazon EMR, and Databricks.

In this webinar you will learn:
  • How NVIDIA technology accelerates Apache Spark—without code changes
  • How accelerated Spark enables leading retailers to transform their business by enabling workflows that were previously impossible.
  • How to get started, including with an NVIDIA tool that estimates cost savings and the acceleration potential of Apache Spark workloads.
Join us after the presentation for a live Q&A session.

Webinar Registration

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You will receive an email with instructions on how to join the webinar shortly.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Charu Chaubal
Product Marketing Manager, NVIDIA
Charu Chaubal manages product marketing for data science solutions in the Enterprise Platform Group at NVIDIA. He has over 20 years’ experience in marketing, customer education, and pre-sales of technology products and services, and has worked in a diversity of areas, such as AI, cloud computing, and IT security. As a technology marketing leader at VMware, he helped launch numerous offerings that collectively grew into multibillion-dollar businesses. Previously, he worked at Sun Microsystems, where he architected distributed resource management and HPC infrastructure software solutions. Chaubal has a Ph.D. in chemical engineering and is the author of several patents.
Ward Eldred
Solution Architect Manager, NVIDIA
Ward Eldred is a solution architect manager with a team responsible for supporting the retail vertical by assisting customers in leveraging NVIDIA technologies to solve complex business problems. Eldred also instructs courses as part of NVIDIA’s Deep Learning Institute, which focuses on teaching students the fundamentals of deep learning through seminars and labs. Prior to joining NVIDIA, Ward spent 20 years at Sun Microsystems as a systems engineer architecting high availability and cluster solutions
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Date & Time: Wednesday, April 22, 2018