Over the years, AI systems have been at the front and center of many new technological advancements. They have played a crucial role in paving the way to solve a wide variety of tasks like motion planning, vehicle localization, speech recognition, automated parking, self-driving cars, and more. While early AI systems offered cloud-based services, these days – they have evolved to provide edge computing – thereby minimizing the amount of data transferred to the cloud, the number of gateways, bandwidth usage, and costs. It’s why edge AI systems, equipped with these high-performance computing capabilities are highly popular in embedded vision use cases.
As you may know, the NVIDIA® Jetson™ series of processors remain the most commonly-used host platform for embedded cameras – owing to their superior performance. And NVIDIA® Jetson AGX Orin™ is the latest release – with the Jetson AGX Orin™ 64GB and the Jetson AGX Orin™ 32GB modules.
Let us now deep dive into the performance of Jetson AGX Orin™ and look at its specifications and building blocks.