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Introduction

Vision Transformers (ViTs) are revolutionizing vision AI applications. They not only offer superior accuracy compared with CNNs. They also enable an unprecedented level of image understanding and analysis.

NVIDIA makes it possible for you to fuel your AI applications with the power of ViTs. Learn how to combine ViTs with NVIDIA TAO Toolkit and NVIDIA L4 GPUs to achieve new levels of accuracy and performance.

Hear about the latest updates on Metropolis SDKs and developer tools that will transform your business and get your questions answered in a live Q&A session with our team of experts.

Join this webinar to learn how:
  • ViTs outperform CNN-based models and provide high accuracy for object detection and recognition use cases.
  • The new NVIDIA TAO Toolkit 5.0 brings groundbreaking features to enhance any AI model development. State-of-art vision transformers with TAO increase training efficiency and provide greater robustness against image corruption.
  • NVIDIA L4 GPUs deliver increased performance throughput and reduce deployment costs for vision AI applications.

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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

Adam Scraba
Director of Product Marketing, NVIDIA
Adam drives worldwide evangelism and marketing for NVIDIA's accelerated computing platform in applying artificial intelligence to video analysis. This is critical to solving 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. Adam 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. Chintan holds a master’s degree in electrical engineering from North Carolina State University.
Debraj Sinha
Product Marketing Manager, NVIDIA
Debraj 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