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NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)

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4.5 573 ratings

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Brand	NVIDIA
Model Name	945-13450-0000-100
Memory Storage Capacity	4 GB
Connectivity Technology	USB, GPIO
Operating System	Linux

About this item

The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

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Get AI Grab your Jetson Nano 4GB Developer Kit—a powerful mini AI computer. It’s the perfect solution for any project using image classification, object detection, segmentation, speech processing, and more.	Learn AI NVIDIA delivers free training in AI for developers, educators, students, and lifelong learners. Boost your career and earn certificates to show your understanding of Jetson and AI.	Build AI The developer kit can bring vision and understanding to your computer—whether it’s an autonomous bot, a speech recognition device, or a smart home device. What will you build with Jetson Nano?

Developer Kit Layout

The Jetson Nano 4GB Developer Kit features four USB 3.0 ports, an MIPI CSI-2 camera connector, HDMI 2.0 and DisplayPort 1.3, Gigabit Ethernet, an M.2 Key-E module, a MicroSD card slot, and a 40-pin GPIO header. The dev kit can be powered by either the Micro USB port or a 5V DC barrel jack adapter.

1. microSD card slot for main storage

2. 40-pin expansion header

3. Micro-USB port for 5V power input, or for Device Mode

4. Gigabit Ethernet port

5. USB 3.0 ports (x4)

6. HDMI output port

7. DisplayPort connector

8. DC Barrel jack for 5V power input

9. MIPI CSI-2 camera connectors

Jetson Community Projects

The NVIDIA Jetson platform is backed by a passionate developer community that actively contributes videos, how-tos, and open-source projects. Plus, NVIDIA offers free tutorials starting with an introductory "Hello AI World" and continuing to robotics projects such as the JetBot AI open robot platform

Built on the Full NVIDIA Stack

NVIDIA JetPack gives you a head start on projects with fast and efficient AI. It includes a familiar Linux environment and offers every Jetson developer the same NVIDIA CUDA-X software and tools used by professionals around the world.

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	This Item NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)	Recommendations NVIDIA Jetson AGX Orin 64GB Developer Kit	dummy Coral USB Accelerator Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers	dummy Orange Pi 5 8GB LPDDR4 Rockchip RK3588S Octa-core ARMR 64 Bit 8nm LP Process with QSPI Nor FLASH 16MB, 8K Video Codec Single Board Computer Run Orange Pi OS(Pi5 8GB)	dummy Orange Pi 5 16GB Rockchip RK3588S 8 Core 64 Bit Single Board Computer, 2.4GHz Frequency 8K Video Decoding Open Source Board Mini PC Run Orange Pi OS,Android12,Debian11 (Pi 5 16GB+5V4A TypeC Supply)	dummy NVIDIA Jetson AGX Xavier Developer Kit (32GB)
	Buying options	Try again! Details Added to Cart	Try again! Details Added to Cart	Try again! Details Added to Cart	Try again! Details Added to Cart	Try again! Details Added to Cart
Price	—	$1,999.00	-7% $73.99 Typical: $79.90	$100.99	$138.99	$2,998.00
Delivery	—	Get it as soon as Tuesday, May 14	Get it as soon as Tuesday, May 14	Get it as soon as Wednesday, May 15	Get it as soon as Thursday, May 16	—
Customer Ratings	4.5573	4.310	4.331	4.360	4.396	4.287
Sold By	—	Amazon.com	Seeed Studio Official	Orange Pi	Orange Pi Official	Kemp IT
operating system	Linux	—	Linux, Windows 10, Raspberry Pi, MacOS	Ubuntu, Linux, Debian	Orange Pi OS, Debian 11, Android 12	Linux
hardware interface	usb, secure digital	—	—	usb	—	usb, hdmi
cpu manufacturer	NVIDIA	—	—	Rockchip	Rockchip	NVIDIA
RAM size	—	64 GB	—	8 GB	16 GB	16 GB
RAM tech	—	—	—	LPDDR4	LPDDR4	LPDDR4X
connectivity tech	GPIO, USB	—	USB 3.0 Type-C (date/power)	Wi-Fi, HDMI	Ethernet, USB, HDMI	LAN
wireless standard	bluetooth	bluetooth	—	bluetooth	802 11 B	bluetooth
core count	1	—	1	8	4	1

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Product information

Technical Details

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Summary

RAM

‎4 GB

Chipset Brand

‎NVIDIA

Wireless Type

‎Bluetooth

Other Technical Details

Brand

‎NVIDIA

Series

‎945-13450-0000-100

Item model number

‎945-13450-0000-100

Operating System

‎Linux

Item Weight

‎8.5 ounces

Product Dimensions

‎2.72 x 1.77 x 1.77 inches

Item Dimensions LxWxH

‎2.72 x 1.77 x 1.77 inches

Processor Brand

‎NVIDIA

Number of Processors

‎1

Computer Memory Type

‎DDR SDRAM

Manufacturer

‎NVIDIA Corporation

ASIN

‎B084DSDDLT

Date First Available

‎February 10, 2020

Additional Information

Customer Reviews

4.5 573 ratings

4.5 out of 5 stars

Best Sellers Rank

#318 in Single Board Computers (Computers & Accessories)

Warranty & Support

Amazon.com Return Policy:You may return any new computer purchased from Amazon.com that is "dead on arrival," arrives in damaged condition, or is still in unopened boxes, for a full refund within 30 days of purchase. Amazon.com reserves the right to test "dead on arrival" returns and impose a customer fee equal to 15 percent of the product sales price if the customer misrepresents the condition of the product. Any returned computer that is damaged through customer misuse, is missing parts, or is in unsellable condition due to customer tampering will result in the customer being charged a higher restocking fee based on the condition of the product. Amazon.com will not accept returns of any desktop or notebook computer more than 30 days after you receive the shipment. New, used, and refurbished products purchased from Marketplace vendors are subject to the returns policy of the individual vendor.

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Product Description

The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts. Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started. The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

Customer reviews

4.5 out of 5

573 global ratings

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Ignacio Olave Bugini

NVIDIA always perfect.

Reviewed in the United States on April 28, 2024

Verified Purchase

Amazing product

Helpful

luis

buena velocidad procesamento

Reviewed in the United States on March 13, 2024

Verified Purchase

para empezar muy bueno, sobre todo en procesamiento de imagenes

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Science4Life

Perfect platform for AI/ML for CUDA leaning tasks

Reviewed in the United States on April 12, 2021

Verified Purchase

Jetson Nano is great for not only robotics/edge AI, you can use ML for science usage such as medical imaging or environmental data to speed up your workflow. From personal experience even an underclocked dual-core power save mode on the Jetson Nano will still be faster on CUDA AI/ML tasks than a Raspberry Pi 4, however your workflow may vary. If you use AI/ML that isn't optimized for CUDA, in some cases a Pi 4 raw CPU compute can edge out the Nano. I would say if you pair a Pi 4 with any AI/ML accelerator it'll cost more than a Jetson Nano and your mileage is still going to vary.

Depending upon how you use a Jetson Nano, for robotics/automation you can actually run four cameras via USB and use the camera interface. Performance wise if you do opt to run a Jetson Nano using USB power, your mileage is going to vary as not all USB power adapters provide a stable voltage which means checking the specs--I reused a Canakit USB power adapter from a retired Pi 3 and never had any voltage warnings but if you plan to run a Jetson Nano hard like a Pi 4 you'll want to use the barrel power adapter for extra power stability when using multiple USB devices+GPIO. Thermal wise I've compared a fanless vs fan equipped Jetson Nano, even under sustained load the heatsink size prevents it from thermal throttling too much. This B01 version has two camera connectors which is geared for stereo imaging however you can run two cameras at a small performance loss and also fixed the networking issue which occurred on the original Jetson Nano A01/A02.

From a performance per watt/dollar ratio, if you're going to dive deeper into AI/ML a Jetson NX is more ideal. With a Jetson Nano if you're pushing four cameras and LIDAR it'll require a bit of tweaking to get optimal performance and still remain at about 3.5GB of memory usage.

22 people found this helpful

Helpful

genesis hafalla

its working

Reviewed in the United States on November 23, 2023

Verified Purchase

good

One person found this helpful

Helpful

Zach pinkerton

So far so good

Reviewed in the United States on April 11, 2023

Verified Purchase

After repairs from shipping damage. Not the sellers fault. It works great. I'm using it as the brain for my r2d2 project and so far it's doing everything I ask it to.

One person found this helpful

Helpful

Devin Canterberry

Way past its prime

Reviewed in the United States on May 6, 2023

Verified Purchase

I expected this to be, basically, a Raspberry Pi with a GPU. A computer I could flash with any arm64/aarch64 OS and it Just Work. Boy, was I wrong.

Despite being called a "Dev Kit", this is just the device itself. Nvidia just calls it a " non-production-grade" product, so Dev Kit is just a euphemism for it being a low-quality product, on purpose.

The docs say you need a 5V 2A power supply, but that is not true. It will not even boot unless it has at least 4A, so make sure you buy the right one.

The Jetson Linux SD card image in the Getting Started docs is half a decade old. Even the most current version of Jetson Linux available for this product is based on Ubuntu 18.04, which reaches EOL in May 2023. Nvidia is *not* releasing updates for Jetson Linux that are compatible with this product, so it will be obsolete and wholly unsupported by both Nvidia and Canonical after May 2023. So you're on your own.

Even after getting Jetson Linux up and running, it's stuffed with bloatware like OS-integrated Facebook search (circa 2018) and a variety of games and a vastly outdated version of the whole Libreoffice suite. The default desktop theme and wallpaper is nausea-inducingly garish, reminiscent of the fad around lightning and dragon themed bowling shirts, circa 1998.

It is possible to upgrade the OS from Ubuntu 18.04 all the way up to 21.04 if you're motivated enough. Each upgrade causes more volatility and instability, though, so YMMV and if you're planning to do this, be very cautious and make backups along the way. I spent 7 hours attending this process (yes, you have to attend it because along the way, there are random confirmations you actually have to read, because sometimes the default is to abort the process, setting you back an hour or more. Ask me how I know this). After carefully upgrading, one major version at a time (bionic to focal, focal to jammy), the upgrade from jammy to koala bricked the OS and none of my recovery attempts were fruitful.

The problem with just using Jetson Linux right out of the box, without upgrading, is that you have to work within the time capsule of what was available at that time. Modern tools, AI models, etc, developed since will either not have the necessary dependencies, or taken as a whole, will not work with such an antiquated system. Combine that with this product being effectively abandoned with no future in sight for official support or continued development, and even if you're a seasoned, highly competent software engineer, you're in for a world of hurt.

If you do buy this product, I hope you have a lot of patience and tolerance for disorder and chaos. You're going to need all of it.

49 people found this helpful

Helpful

Eric T.

If your mobile project needs a GPU, this is your starting point.

Reviewed in the United States on May 20, 2023

Verified Purchase

I hope Nvidia keeps producing these. The price/performance point is perfect for the application I am using it in.

One person found this helpful

Helpful

murat

poor support

Reviewed in the United States on January 15, 2023

Verified Purchase

I couldn't start both of the Nano jetson kits. I called NDIVIA support from India, a technician event listing.
Need to set the jumper to to work

2 people found this helpful

Helpful

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Thomas

Carrier board logic level converter is defective on all boards

Reviewed in Canada on February 15, 2024

Verified Purchase

Carrier board logic level converter is defective on all boards; the 3.3V output is 1.8V and randomly switches. Pinmux flashing doesn't fix and if you have any noise in your system the GPIO will flicker on and off rapidly in response to the noise. Inputs require pull down resistors of 1.5kOhm to drain 3mA to ground in order to function and not float high at 1.2V (THESE ARE INPUTS). Sometimes the outputs will randomly change from 1.8V to 3.3V. This is occuring on multiple jetson nano boards and not isolated to one device. The carrier has defective hardware.

mailpcde

Computadora Nvidia Jetson Nano 4MB RAM

Reviewed in Mexico on April 24, 2021

Verified Purchase

He estado utilizando la Jetson Nano para programar en Python, y a decir verdad, también la he estado utilizando cómo computadora de ofimática y también funciona para preparar oficios mientras escucho música o veo algún video tutorial en YouTube. Es genial

5 people found this helpful

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beppe

insomma....

Reviewed in Italy on June 8, 2021

Verified Purchase

4GB di RAM sono troppo pochi e poi senza wifi e bluetooth già integrato è un groviglio di cavi tra tastiera, mouse, monitor, alimentazione, webcam (per fare riconoscimento), dongle Wifi.
insomma troppo castrato...
non oso pensare cosa si possa fare con quello da soli 2GB.
Risparmiate e prendete uno Xavier.

6 people found this helpful

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shivoh

Really good

Reviewed in India on May 3, 2021

Verified Purchase

Really good. Everything works perfectly.

One person found this helpful

Amazon Customer

Great for watching for people on cameras

Reviewed in Australia on May 13, 2021

Verified Purchase

I bought this guy to watch my 6x4k and 1x5mp cameras for people so I'm not just getting 'motion' events. Works a charm, does it without breaking a sweat.

I am not sure how you're meant to mount fans to these things, but after printing a case for them I got out the m3 tap and tapped the holes on top to use m3 bolts, and screwed a noctua fan to it - be careful to clear away the shavings.

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NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)

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Top Brand: NVIDIA

From the manufacturer

Get AI

Learn AI

Build AI

Developer Kit Layout

Jetson Community Projects

Built on the Full NVIDIA Stack

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