NVIDIA Jetson is a leading embedded AI computing platform designed for robotics and edge AI applications. It provides compact edge AI computers with GPU acceleration together with the JetPack SDK for accelerated software development.
The platform spans multiple performance tiers: Jetson Thor (up to 2070 TFLOPS, 40–130 W), Jetson AGX Orin (up to 275 TOPS, 15–60 W), Jetson Orin NX (up to 157 TOPS, 10–25 W), Jetson Orin Nano (up to 67 TOPS, 7–15 W) and the Xavier series (up to 32 TOPS, 10–30 W); entry-level TX2 and Nano options are also available. Each module pairs a Tensor-Core GPU with an Arm CPU (from Cortex-A78AE to newer Neoverse designs).
The JetPack SDK delivers pre-built, cloud-native software services, and the Isaac platform forms an AI robotics ecosystem: Isaac ROS (CUDA-accelerated ROS 2), Isaac Sim (simulation engine) and Isaac Lab (GPU-accelerated learning). Use cases span autonomous machines, physical AI, generative AI inference, computer vision and advanced robotics at the edge.
AI System-on-Chip (SoC) · serves as: High-level compute, AI Inference, Computer vision processing, Embedded main processor.
Which group NVIDIA Jetson 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.
