NVIDIA

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 TakeawaysJoin 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.

Generative AI has opened doors to innovative possibilities and is considered an essential part of enterprise transformation. But, developing and deploying an end-to-end AI pipeline poses opportunities and challenges. A full-stack approach allows enterprises to overcome obstacles - such as technical complexities, model performance, and time to value - and speed up success.