AI System-on-Chip (SoC) · serves as: High-level compute, AI Inference, Computer vision processing, Embedded main processor.
Which group NVIDIA Jetson Orin Nano Super belongs to and how it is built
Compute Modules is a subcategory of hardware components that provide processing power for robotic systems. It encompasses onboard computers, single-board computers (SBCs), AI accelerators, embedded processors, GPU/NPU compute modules, and other units responsible for processing sensor data and executing control logic. These modules form the foundation of modern autonomous, humanoid, and perception-capable robots.
Component type encompassing System-on-Chip designs used as primary compute units in embedded devices, edge AI, and robotics applications.
Basic physical properties of NVIDIA Jetson Orin Nano Super — dimensions, weight and materials
Other hardware parts related to NVIDIA Jetson Orin Nano Super
The NVIDIA Jetson Orin Nano Super Developer Kit is an upgraded variant of the Jetson Orin Nano, announced on December 17, 2024. The same module (Ampere GPU with 1024 CUDA cores and 32 Tensor cores, 6-core ARM Cortex-A78AE, 8 GB LPDDR5) reaches 67 INT8 TOPS (sparse) instead of 40 TOPS thanks to a new Super power mode and a JetPack 6 update — with no hardware swap. GPU clock rises to 1020 MHz, CPU to 1.7 GHz, and memory bandwidth to 102 GB/s. The developer kit price dropped to $249, making it an affordable platform for generative AI, robotics, and computer vision at the edge.
