NVIDIA Webinar
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Learn how to build high-performance visual AI agents, from cloud to far edge, that help streamline operations across a range of industries. NVIDIA Metropolis reference workflows bring visual AI agents to life—powered by generative AI vision language models (VLM), large language models (LLM), and NVIDIA NIM™ inference microservices.
Join this webinar to get up to speed on the latest advances.
- Learn how perceptive and interactive visual AI agents can be integrated into nearly every industry.
- Know the latest capabilities of visual language models (VLM).
- Understand how NVIDIA NIM is the path to production for VLMs and visual AI agents from cloud to far-edge Jetson appliances.
- Learn how the latest Metropolis VIA microservice and NIM microservices streamline time to production for a wide range of visual AI agents and use-cases.
- Explore how Metropolis reference workflows quickly get you experimenting and developing using VLMs.
- Get your questions answered by a team of experts.
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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.
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.
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, Product Marketing, NVIDIAAdam Scraba drives worldwide evangelism and marketing for NVIDIA's accelerated computing platform in applying AI to video analysis to solve critical problems across a breadth of industries. These include everything from urban planning and transportation to retail and energy. Previously, Adam was responsible for leading NVIDIA's business development and strategic alliances for smart and safe city initiatives worldwide. He's led dozens of customers and developers along the transformational journey to leverage AI, from startups to Fortune 500 companies.
Samuel Ochoa
Technical Marketing Engineer, NVIDIASamuel Ochoa is a technical marketing engineer with the Metropolis team at NVIDIA, focusing on bringing AI to industrial applications. Prior to NVIDIA, he graduated from the University of Texas at Austin with a BS and MS in Computer Engineering with a specialty in machine learning for edge devices.
Debraj Sinha
Product Marketing Manager, NVIDIADebraj Sinha is a Product Marketing Manager for Metropolis at NVIDIA, focusing on building smarter spaces around the world with AI-enabled video analytics. He collaborates with partners ranging from startups to Fortune 500 companies to market AI applications that drive safety and efficiency gains. Debraj holds an MBA degree from Haas School of Business, University of California, Berkeley and a Master's degree in Computer Science from Cornell University.
Shubham Agrawal
AI Developer Technology Engineer, NVIDIAShubham Agrawal works on the Metropolis team, focusing on bringing generative AI-based solutions to industry using Vision Language Models (VLMs). His previous research concentrated on computer vision in the medical domain. He holds a master's degree in computer science from Columbia University and a bachelor’s degree in information technology from NITK Surathkal.
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Date & Time: Wednesday, April 22, 2018