NVIDIA Jetson Orin Nano Module

Name: NVIDIA Jetson Orin Nano Module
Brand: NVIDIA
SKU: 610547ff-15a1-428b-bbac-db4fb4c843d8
Price: 570 EUR
Availability: InStock

NVIDIA | A-000000-08168

€570.00 VAT incl. €475.00 VAT excl.

The NVIDIA Jetson Orin Nano is an embedded computing platform designed for edge artificial intelligence (Edge AI) applications.

Quantity

Ask for a quote

Create a cart and turn it into a quote instantly!

Payment methods (see T&C)

NVIDIA Jetson Orin Nano – Embedded AI Module (4 GB / 8 GB)

Key features

Compact module in Jetson Nano / Orin NX format, easy to integrate into compact embedded systems
NVIDIA Ampere GPU with Tensor Cores for running edge AI models
6-core Arm Cortex-A78AE CPU up to 1.5 GHz
Up to 67 TOPS of AI performance depending on the version
LPDDR5 memory with high bandwidth for intensive workloads
NVMe storage support via PCIe
Compatible with the NVIDIA software ecosystem: JetPack, Isaac, Metropolis, Holoscan, TAO Toolkit, Omniverse Replicator
Pin-compatible with Jetson Orin NX for scalable designs

Applications

The NVIDIA Jetson Orin Nano is intended for applications requiring advanced AI computing capabilities in a small footprint. It is particularly suitable for:

autonomous robotics
smart cameras and embedded vision
video analytics and retail analytics
automated inspection and industrial QA
drones and compact mobile systems
edge generative AI embedded systems

Jetson Orin Nano version comparison

The Jetson Orin Nano family is available in two complementary versions. The 4 GB version is intended for more memory- and budget-efficient integrations, while the 8 GB version is better suited to heavier AI workloads, concurrent pipelines, and more demanding models.

Module	GPU	CPU	AI Performance	Memory	Power Consumption
Jetson Orin Nano 4 GB	Ampere – 512 CUDA + 16 Tensor Cores	6-core Arm Cortex-A78AE	34 TOPS	4 GB LPDDR5	7 – 25 W
Jetson Orin Nano 8 GB	Ampere – 1024 CUDA + 32 Tensor Cores	6-core Arm Cortex-A78AE	67 TOPS	8 GB LPDDR5	7 – 25 W

A high-performance platform for Edge AI

The Jetson Orin Nano is a particularly attractive solution for integrating embedded AI into compact products. Thanks to the NVIDIA JetPack software stack and its associated ecosystem, it enables faster development of robotics, computer vision, video analytics, and advanced sensor processing applications.

Technical specifications of the NVIDIA Jetson Orin Nano board

GPU architecture: NVIDIA Ampere
GPU:
- 4 GB version: 512 CUDA cores + 16 Tensor Cores
- 8 GB version: 1024 CUDA cores + 32 Tensor Cores
CPU: 6-core Arm Cortex-A78AE v8.2 64-bit
CPU cache: 1.5 MB L2 + 4 MB L3
Max CPU frequency: up to 1.5 GHz
Max GPU frequency: up to 625 MHz
AI performance:
- 4 GB version: up to 34 TOPS
- 8 GB version: up to 67 TOPS
Memory:
- 4 GB version: 4 GB LPDDR5, 64-bit bus, 34 GB/s
- 8 GB version: 8 GB LPDDR5, 128-bit bus, 68 GB/s
Storage: external NVMe storage support
Cameras:
- up to 4 cameras (or 8 via virtual channels)
- 8 MIPI CSI-2 lanes
- D-PHY 2.1 up to 20 Gbps
Video encoding: 1080p30, supported by 1 to 2 CPU cores
Video decoding:
- 1 x 4K60 (H.265)
- 2 x 4K30 (H.265)
- 5 x 1080p60 (H.265)
- 11 x 1080p30 (H.265)
PCI Express: 1 x4 + 3 x1, PCIe Gen3, Root Port and Endpoint
USB:
- 3 x USB 3.2 Gen2 (10 Gbps)
- 3 x USB 2.0
Network: 1 x Gigabit Ethernet
Display: 1 x 4K30 multi-mode DP 1.2 (+MST) / eDP 1.4 / HDMI 1.4
Interfaces: 3 x UART, 2 x SPI, 2 x I2S, 4 x I2C, 1 x CAN, DMIC & DSPK, PWM, GPIOs
Power consumption: 7 W to 25 W depending on the power mode
Mechanical compatibility: 69.6 x 45 mm, 260-pin SO-DIMM connector
Compatibility: pin-compatible with Jetson Orin NX