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Jetson AGX Orin 32GB, NVIDIA Embedded AI Module with Embedded AI computing for advanced robotics and edge vision applications

Marque: NVIDIA Mellanox
Modèle: Jetson AGX Orin 32GB

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Jetson AGX Orin 32GB, NVIDIA Embedded AI Module with Embedded AI computing for advanced robotics and edge vision applications

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Vue d’ensemble

NVIDIA Mellanox Jetson AGX Orin 32GB Vue d’ensemble

NVIDIA Jetson AGX Orin 32GB is an Ampere-based embedded AI module with 1,792 CUDA cores, 56 Tensor Cores, 32GB LPDDR5 and up to 200 TOPS in supported performance modes. Its 15–40W range balances AI performance, memory capacity and edge-system power limits.

Key Specifications

AI Performance

Up to 200 TOPS; actual performance depends on supported power and software mode

GPU and CPU

1,792 CUDA cores, 56 Tensor Cores and a 12-core Arm Cortex-A78AE CPU

Memory

32GB LPDDR5 shared memory for vision AI, robotics and edge inference

Power Range

Configurable 15–40W operating range for balanced edge-system design

Production Integration

Jetson module designed for integration with a compatible carrier board and product enclosure

Software Ecosystem

JetPack SDK with CUDA, TensorRT and NVIDIA edge AI software support

Best Fit Applications

Robotics Platforms

The 32GB configuration provides substantial memory and GPU acceleration for robotic perception, navigation and control workloads.

Vision AI and Inspection

CUDA and Tensor Core acceleration support real-time image analysis, multi-camera processing and industrial vision applications.

Edge Inference

Up to 200 TOPS in supported modes gives developers headroom for local inference without sending every workload to the cloud.

Smart IoT Systems

The 15–40W range fits intelligent gateways, embedded appliances and other systems where compute and power must be balanced.

Why Jetson AGX Orin 32GB

Balanced Orin Compute and Memory

32GB LPDDR5, 1,792 CUDA cores and 56 Tensor Cores provide a balanced configuration for demanding edge AI products.

Configurable Power Envelope

The 15–40W range gives integrators room to tune performance around thermal, battery and enclosure requirements.

Mature Production Ecosystem

The Jetson software ecosystem helps teams move from embedded AI development to a carrier-board-based product design.

Compare Related Models

	NVIDIA Jetson AGX Orin 32GB	NVIDIA Jetson AGX Orin 64GB	NVIDIA Jetson Orin NX 16GB	NVIDIA Jetson Orin Nano 8GB
AI Performance	Up to 200 TOPS, mode-dependent	Up to 275 TOPS	Up to 157 INT8 TOPS in MAXN_SUPER mode	Up to 67 TOPS
GPU / Tensor Cores	1,792 CUDA / 56 Tensor Cores	2,048 CUDA / 64 Tensor Cores	1,024 CUDA / 32 Tensor Cores	1,024 CUDA / 32 Tensor Cores
CPU	12-core Arm Cortex-A78AE	12-core Arm Cortex-A78AE	8-core Arm Cortex-A78AE	6-core Arm Cortex-A78AE
Memory	32GB LPDDR5	64GB LPDDR5	16GB LPDDR5	8GB LPDDR5
Power Range	15–40W	15–60W	10–25W	7–25W
Module Positioning	Balanced AGX Orin production module	High-performance AGX Orin production module	Compact high-performance production module	Entry edge AI production module
Best Fit Scenario	Robotics, vision AI, edge inference and smart IoT systems	Robotics, multimodal edge AI, autonomous-machine development and edge servers	AMRs, drones, smart cameras and edge boxes	Vision AI, entry robotics, smart home and education projects
Target Customer	Robotics and vision developers, OEMs and system integrators	Robotics OEMs, edge AI integrators and autonomous-machine teams	Embedded device vendors and edge AI developers	Makers, educators and small device makers
Not Recommended For	Large models or multi-sensor workloads that require 64GB	Low-power entry devices or projects that do not need high memory and compute	Workloads needing AGX-class memory or compute	Large multimodal models or high-density robotics workloads

Certificats de qualité

spécification

NVIDIA Mellanox Jetson AGX Orin 32GB spécification

General
Brand	NVIDIA
Product Category	Embedded AI Module
Model	Jetson AGX Orin 32GB
Module Family	Jetson AGX Orin
Compute
GPU Architecture	NVIDIA Ampere
CUDA Cores	1,792
Tensor Cores	56
CPU	12-core Arm Cortex-A78AE
AI Performance	Up to 200 TOPS in supported performance modes; actual result depends on the selected operating mode
Memory and Power
Memory	32GB LPDDR5
Power Range	15–40W
Software and Integration
Software Ecosystem	JetPack SDK with CUDA, TensorRT and NVIDIA edge AI software support
Integration	Production module for integration with a compatible carrier board; module and carrier-board selection must be confirmed for the system design

Still unsure about your configuration? Talk to an engineer for assistance.

Certificats de qualité

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