AI & Deep Learning
Offer
Back to top

Introduction

Date: Thursday, April 25, 2024
Time: 8:00–9:00 a.m. PT
Duration: 1 hour

The acceleration of AI to the edge makes security more important than ever before. Large investments in intellectual property must be protected when AI models are deployed in remote locations. Device security, AI model protection at rest and in transit, secure connectivity between devices and a wide variety of applications, and integration with the NVIDIA Metropolis ecosystem are critical for a safe, scalable edge AI solution. With the release of NVIDIA JetPack™ 6.0 and its partnership with SecEdge, NVIDIA is delivering a complete chip-to-cloud security solution for Edge AI. Don’t miss this critical webinar, where you’ll learn best practices and discover tools for securing your NVIDIA Jetson™-powered solution—end-to-end.

Join this webinar to learn about:
  • Security features supported in JetPack
  • Device security from secure boot to credentials management
  • AI model protection at rest and in transit
  • Secure data connectivity from device to application using IPSec VPN
  • Tools for easy development and test

There will also be plenty of time to have your questions answered by experts from NVIDIA and SecEdge during the webinar.

Visit SecEdge to learn more: https://www.secedge.com/nvidia/

Webinar Registration

By filling out the form, I agree to share my data with NVIDIA’s partner, SecEdge. I understand that my information will be handled in accordance with SecEdge’s privacy policy.

THANK YOU FOR REGISTERING FOR THE WEBINAR



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

Main Content

maincontent goes here

Content

Content goes here

Content

content goes here

main image description

Content

Content goes here

Content

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.

Content

Content goes here

Speakers

Suhas Sheshadri
Senior Product Manager, Edge AI and Robotics, NVIDIA
Suhas Sheshadri is a product manager at NVIDIA, focusing on Jetson software. He previously worked with the autonomous driving team at NVIDIA, optimizing system software for the NVIDIA DRIVE™ platform
Larry O’Connell
VP, Edge AI Solutions SecEdge, Inc.
Larry O’Connell has more than 20 years of experience in product management, marketing, and business development, primarily in Industrial IoT applications. Prior to SecEdge, Larry was Vice President of Marketing at Sequitur Labs. He also led the Ethernet switch silicon product management and applications engineering teams at Vitesse Semiconductor and Microsemi Corporation (acquired by Microchip). At Microchip, Larry drove silicon product and go-to-market strategy around industrial and automotive networking. Prior to Vitesse, Larry started and grew Cisco Systems’ industrial ethernet switching business, expanding the solution into applications for industrial automation, energy, and video surveillance.
Mike Hendrick
VP, Engineering SecEdge, Inc.
Mike Hendrick has over 15 years of experience in telecommunications. Over his career, he's worked in many areas within the telecommunications industry, from engineering to product development to IT. In his roles at T-Mobile, Mike partnered with many companies such as Ericsson, HTC, and Samsung to deliver products such as the first GPRS network in North America, T-Mobile’s MyFaves product, and self-service applications for smartphones. In addition, he worked in standardization efforts to help establish the GERAN specification for allowing mobile services over WiFi.
Presenter 4 Name
Job Title 4
Presenter 4 Bio


Main CTA for lightbox form use class="lightbox" CTA

Content Title

Content here

Register

Webinar: Description here

Date & Time: Wednesday, April 22, 2018