Build Visual AI Agents With Generative AI and NVIDIA NIM

Description

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.

Key Takeaways

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.

Speakers: Adam Scraba - Director, Product Marketing, NVIDIA; Samuel Ochoa - Technical Marketing Engineer, NVIDIA; Debraj Sinha - Product Marketing Manager, NVIDIA; Shubham Agrawal - AI Developer Technology Engineer, NVIDIA.