AI System-on-Chip (SoC) · serves as: High-level compute, AI Inference, Embedded main processor.
Which group NVIDIA Jetson AGX Xavier 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.
GPU Volta + 2× DLA v1
First-generation DLA
First-generation DLA
NVIDIA Jetson AGX Xavier is a previous-generation compute module (Volta architecture) delivering 32 TOPS AI performance. It features an 8-core Carmel ARM v8.2 CPU clocked up to 2.265 GHz, a 512-core Volta GPU with 64 Tensor Cores, 2× NVDLA v1, and 32 GB LPDDR4x memory. The module is end-of-sale, superseded by Jetson AGX Orin which delivers up to 8× higher AI performance in the same PCB footprint. Supported by JetPack up to version 5.x; JetPack 6 is not supported.
