설명
As robotics and edge AI move into real-world deployment, developers need compact, power-efficient computing that can run foundation models and advanced AI workloads at the edge.
Join NVIDIA product managers and engineers for a technical overview of the new NVIDIA Jetson Thor T2000 and T3000 modules. Explore practical strategies for overcoming memory constraints, optimizing robotics and edge AI applications, and using Jetson Agent Skills to run more capable workloads on lower-memory configurations.
What you’ll learn:
- How the new Jetson Thor T2000 and T3000 support scalable robotics and edge AI deployments
- How to address memory constraints across the Jetson software stack
- How to use Jetson Agent Skills to optimize memory usage
- Practical techniques for reducing the memory footprint of real-world robotics and edge AI pipelines