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Jetson Orin Nano 4GB, NVIDIA Embedded AI Module with Entry-level embedded AI module for compact edge applications

Marca: NVIDIA Mellanox
Modelo: Jetson Orin Nano 4GB

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Jetson Orin Nano 4GB, NVIDIA Embedded AI Module with Entry-level embedded AI module for compact edge applications

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Vista general

NVIDIA Mellanox Jetson Orin Nano 4GB Vista general

NVIDIA Jetson Orin Nano 4GB is a low-power Ampere-based embedded AI module with 512 CUDA cores, 16 Tensor Cores, 4GB LPDDR5 and up to 34 TOPS. Its 7–15W range targets entry-level computer vision, IoT, education and compact intelligent-device projects.

Key Specifications

AI Performance

Up to 34 TOPS for entry-level edge AI inference

GPU and CPU

512 CUDA cores, 16 Tensor Cores and a 6-core Arm Cortex-A78AE CPU

Memory

4GB LPDDR5 shared memory for lightweight computer vision and IoT applications

Power Range

Configurable 7–15W operating range for low-power deployments

Entry-Level Integration

Compact Jetson module for integration with a compatible carrier board

Software Ecosystem

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

Best Fit Applications

Light Computer Vision

34 TOPS and 16 Tensor Cores support lightweight image classification, detection and sensor-processing tasks at the edge.

Education and Learning

The 4GB configuration provides an accessible platform for learning CUDA, computer vision and embedded AI development.

IoT Devices

The 7–15W range fits compact intelligent gateways, sensors and connected devices with modest AI requirements.

Entry Robotics

The module supports small proof-of-concept robots and simple autonomous functions when the workload fits its memory and compute limits.

Why Jetson Orin Nano 4GB

Lowest-Power Orin Nano Option

The 7–15W profile supports compact, thermally constrained devices and entry-level embedded AI projects.

Dedicated Edge AI Acceleration

512 CUDA cores and 16 Tensor Cores provide hardware acceleration for practical lightweight vision and AI workloads.

Simple Starting Point for Prototyping

The 4GB module gives students, makers and early-stage teams a lower-memory path into the Jetson software ecosystem.

Compare Related Models

	NVIDIA Jetson Orin Nano 4GB	NVIDIA Jetson Orin Nano 8GB	NVIDIA Jetson Orin NX 16GB
AI Performance	Up to 34 TOPS	Up to 67 TOPS	Up to 157 INT8 TOPS in MAXN_SUPER mode
GPU / Tensor Cores	512 CUDA / 16 Tensor Cores	1,024 CUDA / 32 Tensor Cores	1,024 CUDA / 32 Tensor Cores
CPU	6-core Arm Cortex-A78AE	6-core Arm Cortex-A78AE	8-core Arm Cortex-A78AE
Memory	4GB LPDDR5	8GB LPDDR5	16GB LPDDR5
Power Range	7–15W	7–25W	10–25W
Module Positioning	Entry-level low-power production module	Entry edge AI production module	Compact high-performance production module
Best Fit Scenario	Learning, light computer vision and IoT devices	Vision AI, entry robotics, smart home and education projects	AMRs, drones, smart cameras and edge boxes
Target Customer	Students, makers and education institutions	Makers, educators and small device makers	Embedded device vendors and edge AI developers
Not Recommended For	Larger models, multi-camera workloads or advanced robotics	Large multimodal models or high-density robotics workloads	Workloads needing AGX-class memory or compute

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Especificación

NVIDIA Mellanox Jetson Orin Nano 4GB Especificación

General
Brand	NVIDIA
Product Category	Embedded AI Module
Model	Jetson Orin Nano 4GB
Module Family	Jetson Orin Nano
Compute
GPU Architecture	NVIDIA Ampere
CUDA Cores	512
Tensor Cores	16
CPU	6-core Arm Cortex-A78AE
AI Performance	Up to 34 TOPS
Memory and Power
Memory	4GB LPDDR5
Power Range	7–15W
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.

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