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Introduction

In this session we plan to tackle two critical trends in Vision AI – simulating environments and synthetic data generation. Developing robust AI applications requires huge amounts of data – including edge cases which are not easy to replicate in the real world. We also plan to discuss how to prep your apps to be cloud-native using Metropolis Microservices.

Join this meetup to:

  • Learn about NVIDIA Isaac Sim for simulating spaces, environments, and scenarios. Explore its new people simulation capability that allows human characters to be added to complex Omniverse 3D environments and scripted to show specific behaviors, all with no coding or animation expertise.
  • Learn more about Metropolis Microservices, a suite of cloud-native microservices and reference applications that accelerate efforts to create API-driven solutions for edge and the cloud.
  • Hear about the latest updates on Metropolis SDKs and developer tools.
  • Get your questions answered in a live Q&A session with our team of experts.

Webinar Registration

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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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Speakers

Adam Scraba

Director of Product Marketing, NVIDIA

Adam drives worldwide evangelism & marketing for NVIDIA's accelerated computing platform in applying artificial intelligence to video analysis to solve critical problems across a breadth of industries, from urban planning and transportation to retail and energy. Prior to this, he was responsible for leading NVIDIA's business development and strategic alliances for smart and safe city initiatives worldwide. He has led dozens of customers and developers along the transformational journey to leverage AI, ranging from startups to Fortune 500 companies. He is a frequent industry event speaker and routinely briefs press and analysts.

Chintan Shah

Product Manager, NVIDIA

Chintan Shah is a product manager at NVIDIA, focusing on AI products for intelligent video analytics solutions. He manages toolkits for efficient deep learning training and real-time inference. In his previous role, he developed hardware IPs for NVIDIA GPUs. He holds a master’s degree in electrical engineering from North Carolina State University.

Khoa Ho

Product Manager, NVIDIA

Khoa Ho is a product manager at NVIDIA, focusing on AI application frameworks and making AI more broadly accessible. Before joining his current team, he supported NVIDIA’s system and solution partners as a Deep Learning Solutions Architect. And before that, he had the opportunities to experience different technical & customer-facing roles, as part of an NVIDIA’s rotation program, including Solutions Architecture, Product Management, and System Software Engineering. He’s always excited to learn about latest developments in the research and open-source world.

Debraj Sinha (Moderator)

Product Marketing Manager, NVIDIA

Debraj Sinha is a Product Marketing Manager for Metropolis at NVIDIA, focusing on building smarter spaces around the world with vision AI applications. Debraj collaborates with partners ranging from startups to Fortune 500 companies to market AI applications that drive safety and efficiency gains.

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Date & Time: Wednesday, April 22, 2018