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Date: June 17, 2020
Time: 8:30am - 9:30am PT
Duration: 1 hour

NetApp and NVIDIA have partnered to create the NetApp® ONTAP AI reference architecture (RA). This innovative RA offers a turnkey solution for supporting AI and machine learning workloads with enterprise-class performance, reliability and support.

In this webinar, we will focus on how to optimize model training for autonomous vehicle development. We’ll also discuss the appropriate size and scale of the required infrastructure and tools for managing and automating the data pipeline.

In this webinar you will learn:
  • The benefits of using a reference architecture and how a reference architecture is developed.
  • How to accelerate the design, and optimize the utilization, of your data center resources.
  • How to ensure repeatability and traceability with NetApp AI Control Plane.
In preparation for this webinar, we highly recommend you read the white paper Training Workflows for Faster Self-Driving Results.



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.


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Jacci Cenci

Sr. Technical Marketing Engineer, NVIDIA

Jacci Cenci is a Sr. Technical Marketing Engineer residing in Orange County, CA. She has worked for the past three years at NVIDIA with Storage Partners and Enterprise Customers to support accelerated computing and deep learning. As an NVIDIA Certified Deep Learning Instructor (DLI) she is also responsible for driving reference architecture development with a diverse set of infrastructure partners. Her role includes formalizing validation methodology and exploring vertical market reference architectures with NVIDIA DGX POD systems. Before NVIDIA Jacci spent four years as a Datacenter Consultant focused on Machine Learning, Big Data Analytics, Technical Computing, and Enterprise Solutions at Dell EMC.

Jarrod Puyot

Solution Architect, NVIDIA

Jarrod Puyot is a Solution Architect at NVIDIA focusing on Data Center Solutions for the automotive industry related to AI infrastructures for autonomous vehicle development. Previous to NVIDIA, Jarrod spent six years as a Systems Engineer for a leading storage company covering enterprise accounts in the Detroit Metropolitan area.

David Arnette

Technical Marketing Engineer, NetApp

David Arnette is a senior technical marketing engineer focused on NetApp infrastructure solutions for artificial intelligence and machine learning. He's published numerous reference architectures for enterprise applications on the FlexPOD converged infrastructure and has over 18 years’ experience designing and implementing data center storage and virtualization solutions.

Bob Nagy

Director, Automotive Technical Solutions, NetApp

Bob Nagy is director of technical solutions in the NetApp global automotive industry organization. In this role, he is focused on solving data management challenges in the autonomous vehicle development and mobility services space. Bob has over 25 years of experience developing and delivering technology solutions for the automotive industry and has become a trusted advisor to top automotive companies. In his 15 years with NetApp, Bob has specialized in data management solutions including, AI/ML, high performance computing, large scale data protection and global manufacturing plant deployments.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018