NVIDIA Jetson Orin modules

The NVIDIA Jetson Orin range of modules now available from element14 is designed to provide high-performance AI inference capabilities that reduce new product development times. The NVIDIA Jetson Orin range includes the Jetson Orin Nano Series modules, the Jetson Orin NX Series AI computer and the Jetson AGX Orin Series modules.

The range of modules is designed to enable next-generation products to benefit from powerful AI computers for energy-efficient autonomous machines. The modules offer users up to 275 trillion operations per second (TOPS) and 8x the performance of the last generation for multiple concurrent AI inference pipelines, plus high-speed interface support for multiple sensors. Seven different modules are available based on the same architecture, from the entry-level Jetson Orin Nano to the highest performance Jetson AGX Orin.

The modules provide accelerated computing capabilities at performance levels to suit a variety of autonomous applications. The Jetson Orin Nano Series modules deliver up to 40 TOPS of AI performance in the smallest Jetson form-factor, with power options between 7 and 15 W. Jetson Orin Nano is available in 8 and 4 GB versions.

The Jetson Orin NX Series of advanced AI computers is suitable for smaller, lower-power autonomous machines, delivering up to 100 TOPS of AI performance in the smallest Jetson form-factor, with power configurable between 10 and 25 W. This makes it suitable for small form-factor, low-power products such as drones and handheld devices.

The Jetson AGX Orin Series modules are a powerful AI computer for energy-efficient autonomous machines and can deliver up to 275 TOPS of AI performance with power configurable between 15 and 60 W. These system-on-modules support multiple concurrent AI application pipelines with an NVIDIA Ampere architecture GPU, next-generation deep learning and vision accelerators, high-speed IO and fast memory bandwidth. It can be used to solve problems such as natural language understanding, 3D perception and multi-sensor fusion.