NVIDIA Jetson Orin Nano Module
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NVIDIA Jetson Orin Nano Module

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NVIDIA Jetson Orin Nano Module4GBā‚¹ 30,999.99
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Jetson Orin Nano

Advanced AI Computer For Smaller, Lower-Power Autonomous Machines

N-VIDIAĀ® Jetson Orinā„¢ Nano is available in 4GB and 8GB versions, up to 20 TOPS/40 TOPS and 40/80X the performance of the last generation for multiple concurrent AI inference pipelines. Also with high-speed interface support for multiple sensors, it is an ideal solution for a new age of robotics.

Ā 

Product Features

The 8GB version of the Jetson Orin Nano series delivers up to 40 TOPS of AI performance in a compact and small form factor, with power options between 7W and 15W, up to 80X the performance of N-VIDIA Jetson Nano, setting a new standard for entry-level edge AI.


Jetson Orin Nano Specification
MODULE 4GB 8GB
VERSION 4GB Jetson Orin Nano Module 8GB Jetson Orin Nano Module Official Kit
AI PERFORMANCE 20TOPS 40TOPS
GPU 512-core N-VIDIA Ampere architecture GPU with 16 Tensor Cores 1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores
GPU FREQUENCY 625MHz (Max)
CPU 6-core ArmĀ® CortexĀ®-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3
CPU FREQUENCY 1.5GHz (Max)
MEMORY 4GB 64-bit LPDDR5, 32GB/s 8GB 128-bit LPDDR5, 68GB/s
STORAGE Supports external NVMe 128GB NVMe Solid State Drive Supports external NVMe 128GB NVMe Solid State Drive TF card slot & external NVMe via M.2 Key M
POWER 7W ~ 10W 7W ~ 15W
PCIE* 1 x4 + 3 x1 (PCIe 3.0, Root Port & Endpoint) M.2 Key E/
M.2 Key M (PCIe Gen3 x4)/ M.2 Key M (PCIe Gen3 x2)		 1 x4 + 3 x1 (PCIe 4.0, Root Port & Endpoint) M.2 Key E/
M.2 Key M (PCIe Gen3 x4)/ M.2 Key M (PCIe Gen3 x2)
USB* 3x USB 3.2 2.0 (10 Gbps)
3x USB 2.0		 USB Type-A: 4x USB 3.2 Gen2/ USB Type-C (UFP) 3x USB 3.2 2.0 (10 Gbps)
3x USB 2.0		 USB Type-A: 4x USB 3.2 Gen2/
USB Type-C (UFP)
CSI CAMERA Up to 4 cameras (8 via virtual channels**)/
8 lanes MIPI CSI-2/ D-PHY 1.2 (up to 20 Gbps)		 2x MIPI CSI-2 Camera Connector Up to 4 cameras (8 via virtual channels**)/
8 lanes MIPI CSI-2/ D-PHY 1.2 (up to 20 Gbps)		 2x MIPI CSI-2 Camera Connector
VIDEO ENCODE 1080p30 supported by 1-2 CPU cores
VIDEO DECODE 1x 4K60 (H.265)
2x 4K30 (H.265)
5x 1080p60 (H.265)
11x 1080p30 (H.265)
DISPLAY 1x 8K30 multi-mode DP 1.4a (+MST)/
eDP 1.4a/HDMI 2.1		 1x DisplayPort 1.2 (+MST) connector 1x 8K30 multi-mode DP 1.4a (+MST)/
eDP 1.4a/HDMI 2.1		 1x DisplayPort 1.2 (+MST) connector
OTHER 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIO 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIO 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack
NETWORKING 1x GbE 1x GbE Connector 1x GbE 1x GbE Connector
DIMENSIONS 69.6 mm x 45 mm
260-pin SO-DIMM connector		 103 Ɨ 90.5 Ɨ 34mm 69.6 mm x 45 mm
260-pin SO-DIMM connector		 103 Ɨ 90.5 Ɨ 34mm 100 mm x 79 mmx 21 mm
* USB 3.2, MGBE, and PCIe share UPHY Lanes. See the Product Design Guide for supported UPHY configurations.
** Virtual Channels for Jetson Orin Nano are subject to change
Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.


Ā 

Professional Application Software And Models

N-VIDIA Software
All N-VIDIA Jetson modules and developer kits are supported by the same N-VIDIA Jetson software stack, so you can develop once and deploy everywhere. Jetson software is designed to provide end-to-end acceleration for AI applications and accelerate the time to market. This brings the powerful N-VIDIA technologies that power data centers and cloud deployments to the edge.

Pretrained Models
Many AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. Pretrained models from the NGCā„¢ catalog are performance-optimized and ready to be fine-tuned with the N-VIDIA TAO Toolkit and customer datasets, reducing time and cost for production AI software development.

Ā 

N-VIDIA Platforms For Robotics, AI Speech, And Smart Cities

N-VIDIA Software Platforms Including Isaac For Robotics, Riva For AI Speech, And Metropolis For Video Analytics, Are Available To Speed Vertical-Specific Applications

N-VIDIA Isaac
Robots improve efficiency and quality of life in industries such as manufacturing, logistics, healthcare, and service. N-VIDIA Isaacā„¢ accelerates the process with enhanced robotics development, simulation, and deployment.

N-VIDIA Riva
N-VIDIA Riva is a fully accelerated SDK for building multimodal conversational AI applications using an end-to-end deep-learning pipeline, suitable for optimized skills in speech, vision, and natural language processing (NLP) tasks.

N-VIDIA Metropolis
N-VIDIA Metropolis includes an application framework, s set of developer tools, and the partner ecosystem. It brings visual data and AI together to improve operational efficiency and safety across a broad range of industries.
What are the memory options and how do they affect AI performance?
The 4GB Jetson Orin Nano Module delivers up to 20 TOPS with 4 GB LPDDR5 memory and 32 GB per second bandwidth, while the 8GB version delivers up to 40 TOPS with 8 GB LPDDR5 and 68 GB per second bandwidth. The 4GB model uses a 512 core NVIDIA Ampere GPU with 16 Tensor Cores, and the 8GB model uses a 1024 core NVIDIA Ampere GPU with 32 Tensor Cores.
What are the power ranges for the two variants?
The 4GB variant operates from 7W to 10W, and the 8GB variant operates from 7W to 15W.
What interfaces and sensor options are available for expansion?
Both variants expose one PCIe x4 lane plus three PCIe x1 endpoints, M.2 Key M and M.2 Key E connectors, USB 3.2 and USB 2.0, and GbE networking. They also support up to four cameras via MIPI CSI-2 with eight lanes via virtual channels for multi sensor setups.
Can I use NVIDIA software stacks and pretrained models with this module?
Yes. All NVIDIA Jetson modules share the same Jetson software stack for end to end AI acceleration. Pretrained models from the NGC catalog are available and can be fine tuned with the TAO Toolkit, and NVIDIA platforms such as Isaac, Riva, and Metropolis are offered for edge AI applications.
What are typical use cases for this module?
It is designed for smaller, lower power autonomous machines and edge AI robotics that require multiple concurrent AI inference pipelines and high speed sensor interfaces for real time decision making.
A
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Welcome to the discussion thread for NVIDIA Jetson Orin Nano Module
Feel free to ask questions, share tips or report issues.
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NVIDIA Jetson ā†’ NVIDIA Jetson | Official Page ā†’

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Description
Ask AI about this product
Open in ChatGPT Open in Claude Open in Gemini

Jetson Orin Nano

Advanced AI Computer For Smaller, Lower-Power Autonomous Machines

N-VIDIAĀ® Jetson Orinā„¢ Nano is available in 4GB and 8GB versions, up to 20 TOPS/40 TOPS and 40/80X the performance of the last generation for multiple concurrent AI inference pipelines. Also with high-speed interface support for multiple sensors, it is an ideal solution for a new age of robotics.

Ā 

Product Features

The 8GB version of the Jetson Orin Nano series delivers up to 40 TOPS of AI performance in a compact and small form factor, with power options between 7W and 15W, up to 80X the performance of N-VIDIA Jetson Nano, setting a new standard for entry-level edge AI.


Jetson Orin Nano Specification
MODULE 4GB 8GB
VERSION 4GB Jetson Orin Nano Module 8GB Jetson Orin Nano Module Official Kit
AI PERFORMANCE 20TOPS 40TOPS
GPU 512-core N-VIDIA Ampere architecture GPU with 16 Tensor Cores 1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores
GPU FREQUENCY 625MHz (Max)
CPU 6-core ArmĀ® CortexĀ®-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3
CPU FREQUENCY 1.5GHz (Max)
MEMORY 4GB 64-bit LPDDR5, 32GB/s 8GB 128-bit LPDDR5, 68GB/s
STORAGE Supports external NVMe 128GB NVMe Solid State Drive Supports external NVMe 128GB NVMe Solid State Drive TF card slot & external NVMe via M.2 Key M
POWER 7W ~ 10W 7W ~ 15W
PCIE* 1 x4 + 3 x1 (PCIe 3.0, Root Port & Endpoint) M.2 Key E/
M.2 Key M (PCIe Gen3 x4)/ M.2 Key M (PCIe Gen3 x2)		 1 x4 + 3 x1 (PCIe 4.0, Root Port & Endpoint) M.2 Key E/
M.2 Key M (PCIe Gen3 x4)/ M.2 Key M (PCIe Gen3 x2)
USB* 3x USB 3.2 2.0 (10 Gbps)
3x USB 2.0		 USB Type-A: 4x USB 3.2 Gen2/ USB Type-C (UFP) 3x USB 3.2 2.0 (10 Gbps)
3x USB 2.0		 USB Type-A: 4x USB 3.2 Gen2/
USB Type-C (UFP)
CSI CAMERA Up to 4 cameras (8 via virtual channels**)/
8 lanes MIPI CSI-2/ D-PHY 1.2 (up to 20 Gbps)		 2x MIPI CSI-2 Camera Connector Up to 4 cameras (8 via virtual channels**)/
8 lanes MIPI CSI-2/ D-PHY 1.2 (up to 20 Gbps)		 2x MIPI CSI-2 Camera Connector
VIDEO ENCODE 1080p30 supported by 1-2 CPU cores
VIDEO DECODE 1x 4K60 (H.265)
2x 4K30 (H.265)
5x 1080p60 (H.265)
11x 1080p30 (H.265)
DISPLAY 1x 8K30 multi-mode DP 1.4a (+MST)/
eDP 1.4a/HDMI 2.1		 1x DisplayPort 1.2 (+MST) connector 1x 8K30 multi-mode DP 1.4a (+MST)/
eDP 1.4a/HDMI 2.1		 1x DisplayPort 1.2 (+MST) connector
OTHER 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIO 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIO 40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack
NETWORKING 1x GbE 1x GbE Connector 1x GbE 1x GbE Connector
DIMENSIONS 69.6 mm x 45 mm
260-pin SO-DIMM connector		 103 Ɨ 90.5 Ɨ 34mm 69.6 mm x 45 mm
260-pin SO-DIMM connector		 103 Ɨ 90.5 Ɨ 34mm 100 mm x 79 mmx 21 mm
* USB 3.2, MGBE, and PCIe share UPHY Lanes. See the Product Design Guide for supported UPHY configurations.
** Virtual Channels for Jetson Orin Nano are subject to change
Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.


Ā 

Professional Application Software And Models

N-VIDIA Software
All N-VIDIA Jetson modules and developer kits are supported by the same N-VIDIA Jetson software stack, so you can develop once and deploy everywhere. Jetson software is designed to provide end-to-end acceleration for AI applications and accelerate the time to market. This brings the powerful N-VIDIA technologies that power data centers and cloud deployments to the edge.

Pretrained Models
Many AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. Pretrained models from the NGCā„¢ catalog are performance-optimized and ready to be fine-tuned with the N-VIDIA TAO Toolkit and customer datasets, reducing time and cost for production AI software development.

Ā 

N-VIDIA Platforms For Robotics, AI Speech, And Smart Cities

N-VIDIA Software Platforms Including Isaac For Robotics, Riva For AI Speech, And Metropolis For Video Analytics, Are Available To Speed Vertical-Specific Applications

N-VIDIA Isaac
Robots improve efficiency and quality of life in industries such as manufacturing, logistics, healthcare, and service. N-VIDIA Isaacā„¢ accelerates the process with enhanced robotics development, simulation, and deployment.

N-VIDIA Riva
N-VIDIA Riva is a fully accelerated SDK for building multimodal conversational AI applications using an end-to-end deep-learning pipeline, suitable for optimized skills in speech, vision, and natural language processing (NLP) tasks.

N-VIDIA Metropolis
N-VIDIA Metropolis includes an application framework, s set of developer tools, and the partner ecosystem. It brings visual data and AI together to improve operational efficiency and safety across a broad range of industries.
FAQ
What are the memory options and how do they affect AI performance?
The 4GB Jetson Orin Nano Module delivers up to 20 TOPS with 4 GB LPDDR5 memory and 32 GB per second bandwidth, while the 8GB version delivers up to 40 TOPS with 8 GB LPDDR5 and 68 GB per second bandwidth. The 4GB model uses a 512 core NVIDIA Ampere GPU with 16 Tensor Cores, and the 8GB model uses a 1024 core NVIDIA Ampere GPU with 32 Tensor Cores.
What are the power ranges for the two variants?
The 4GB variant operates from 7W to 10W, and the 8GB variant operates from 7W to 15W.
What interfaces and sensor options are available for expansion?
Both variants expose one PCIe x4 lane plus three PCIe x1 endpoints, M.2 Key M and M.2 Key E connectors, USB 3.2 and USB 2.0, and GbE networking. They also support up to four cameras via MIPI CSI-2 with eight lanes via virtual channels for multi sensor setups.
Can I use NVIDIA software stacks and pretrained models with this module?
Yes. All NVIDIA Jetson modules share the same Jetson software stack for end to end AI acceleration. Pretrained models from the NGC catalog are available and can be fine tuned with the TAO Toolkit, and NVIDIA platforms such as Isaac, Riva, and Metropolis are offered for edge AI applications.
What are typical use cases for this module?
It is designed for smaller, lower power autonomous machines and edge AI robotics that require multiple concurrent AI inference pipelines and high speed sensor interfaces for real time decision making.
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Admin
Welcome to the discussion thread for NVIDIA Jetson Orin Nano Module
Feel free to ask questions, share tips or report issues.
Add Post

For more discussion Click Here

Similar Products

Discover More In:

NVIDIA Jetson ā†’ NVIDIA Jetson | Official Page ā†’

Category: View similar items (NVIDIA)

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