In this episode of Vision Vitals - e-con Systems podcast, we dive into one of the most anticipated comparisons in embedded AI: NVIDIA Jetson AGX Thor vs Jetson AGX Orin.

What does NVIDIA Jetson AGX Thor really bring to the table, and how does it change the game for developers already working with NVIDIA Jetson AGX Orin?

🎧 In this episode, you’ll learn:
🔹 The performance leap – FP4 TFLOPS vs Orin’s TOPS
🔹 How Thor improves memory, I/O, and multi-camera support
🔹 Real-world use cases in robotics, 3D perception, and autonomous machines
🔹 Migration strategies for developers moving from Jetson AGX Orin to Jetson AGX Thor
🔹 Why e-con Systems’ cameras are optimized for both platforms

Whether you’re building next-gen robots, industrial automation, or multi-camera AI systems, this discussion helps you decide when to stick with Orin — and when Thor unlocks new possibilities.

👉 Tune in now and explore the future of AI-powered embedded vision.