Description
Building visual AI agents at the edge means bringing together video understanding, application services, and device-specific configuration. In this hands-on livestream, we’ll bring together NVIDIA Blueprint for video search and summarization (VSS) 3.3, Cosmos, and Jetson agent skills in a practical application development workflow on the NVIDIA Jetson edge AI platform.
We’ll start with Jetson Agent Skills to help a coding agent inspect the target hardware, check JetPack and container compatibility, and prepare the runtime environment. Then we’ll use VSS agent skills to turn a natural-language application request into a configured deployment, with Cosmos providing video understanding for event verification.
You’ll learn how to:
- Use Jetson Agent Skills to check device resources and configure the JetPack, container, and inference environment.
- Use VSS 3.3 agent skills to build a visual AI application from a natural-language request.
- Bring video search, alerts, and event review together in one workflow on Jetson.
- Validate the deployment and add capabilities while accounting for edge memory and compute constraints.
Join us live, bring your questions, and leave with a repeatable workflow for building visual AI agents on Jetson—from device setup to application deployment.
Resources:
VSS 3.3 Tech Blog: https://nvda.ws/4e1zxOf
VSS github: https://nvda.ws/479uZBP
Brev Launchable: https://nvda.ws/476yr08