How to Select the Right NVIDIA Jetson Edge AI Computer for Robotics

From AI Workload Evaluation to Production Deployment

Speaker: Jazlyn Ho

In this technical webinar, Premio shows how to evaluate these requirements and select a rugged NVIDIA Jetson computer for robotics applications, from compact AMRs to advanced autonomous systems.

Key concepts:

  • Understanding how robotics workloads are scaling and what it means for edge computing
  • Evaluating the key requirements for selecting an NVIDIA Jetson computer for robotics
  • Matching the JCO Series to different robotics workloads and deployment needs
  • Exploring JetPack 7.2 advancements with live AI demonstrations

Robotics Workload and Compute Spectrum

Key Features of the JCO Series for Robotics

Flexible Camera and Sensor Connectivity

Support diverse robotics vision architectures with GMSL, USB, GigE, and PoE camera interfaces.

Robotics-Focused I/O and Expansion

Connect robot peripherals through CAN, serial, Ethernet, digital I/O, and flexible EDGEBoost I/O expansion on the JCO-6000-ORN Series.

Industrial-Grade Reliability

Wide-temperature, fanless, and certified for industrial and mobile environments.

See JetPack 7.2 on Real Robotics Edge AI Computers

The webinar also explores key JetPack 7.2 advancements, including:

  • Jetson Agent Skills and memory optimization
  • AGX Orin 32GB Super Mode with up to 241 TOPS
  • Enhanced developer support
  • Official Yocto Project support for production deployment