AI System-on-Chip (SoC) · serves as: High-level compute, AI Inference, Computer vision processing, Embedded main processor.
Which group NVIDIA Jetson Orin Nano 2 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 2 — dimensions, weight and materials
Evolution of NVIDIA Jetson Orin Nano 2 — previous and next versions
NVIDIA Jetson Orin Nano 2, announced August 25, 2026, is an entry-level edge AI compute module for robotics and the successor to Jetson Orin Nano / Orin Nano Super. It delivers up to 78 TOPS of AI performance — 2x that of Orin Nano Super — in the same compact SO-DIMM form factor. It features an 8-core Arm Cortex-A78 CPU, 8 GB LPDDR5X memory, improved Tensor Cores and higher memory bandwidth. In 15 W mode it uses up to 40% less power at equivalent performance; the power envelope reaches 40 W. Availability is expected in the first half of 2027; pricing has not been disclosed.
