NVIDIA Jetson Orin Nano Developer Kit

3.9 3.9 out of 5 stars | 62 ratings

Price: 549.96

Last update: 01-08-2025


About this item

The NVIDIA Jetson Orin Nano Super Developer Kit is a compact, powerful computer that redefines generative AI for small edge devices. It delivers up to 67 TOPS of AI performance, a 1.7X improvement over its predecessor, to run vision transformers, large language models, and more. This affordable and accessible platform is supported by NVIDIA AI software and a broad ecosystem. Existing users can upgrade with just a software update, unlocking new possibilities in generative AI.
The developer kit comprises a Jetson Orin Nano 8GB module and a reference carrier board that can accommodate all Orin Nano and Orin NX modules, providing an ideal platform for prototyping your next-gen edge AI product. The Jetson Orin Nano 8GB module features an Ampere GPU and a 6-core ARM CPU, enabling multiple concurrent AI application pipelines and high-performance inference. The carrier board boasts a wide array of connectors, including two MIPI CSI connectors supporting camera modules with up to 4-lanes, allowing higher resolution and frame rate than before.
Jetson runs the NVIDIA AI software stack, with available use-case-specific application frameworks, including NVIDIA Isaac for robotics, NVIDIA Metropolis for vision AI, and NVIDIA Holoscan for sensor processing. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and with NVIDIA TAO Toolkit for fine-tuning pretrained AI models from the NGC catalog.
Ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.
Jetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines and give you the flexibility to create the next generation of AI solutions with the latest NVIDIA technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster.

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Top reviews from the United States

  • Raul, T.
    5.0 out of 5 stars Clever toy
    Reviewed in the United States on September 8, 2023
    I like the nice packaging and the organized looks of the board. It seems to me that they really listened to the customers when designing this board. And all in all it is worth the money because of that little plastic caret around the board. This is very practical. I appreciate as well the wifi board, so I don't have to worry about compatibility of an addon board.

    The software part was not new to me since I am used to NVIDIA tools. I bought this one for hobby use and faced the situation of flashing this device from a Fedora Linux host. It took me about a day to get it flashed the hard way, that is no sd/card, but an SSD and sdkmanager tool.

    Booting it with an SDcard would have been simple, but I didn't want to have the slowdown that is reported with that mode.

    BTW this board supports PXE-Boot, so I wonder what can it boot that way.

    In my case, the flashing has still some installs todo but the system already runs and I see the GUI. This is good enough for starting development.

    Accessories - I wish more house options would pop up. For now it will get an end2end DIY housing.
  • Spencer White
    5.0 out of 5 stars Be careful. The sd imaging doesn't work and the sdkmanager is very particular
    Reviewed in the United States on January 9, 2024
    The board works great but it took a few days of experimentation to get it to flash.

    Make sure to use a jumper cable between the reset pin and the ground pin (located under the fan module on the outside of the board). Plug the display port on the board into a monitor while you are using the sdk manager. At any point if there is activity on the external monitor, let that finish before you continue in the sdk manager.
  • KB
    1.0 out of 5 stars Absolutely nightmare to flash SD card, wasted over 2 days - too late to return
    Reviewed in the United States on November 13, 2024
    you cant use ubuntu 22. Was not able to upgrade firmware. SDK manager takes forever and most modules fail. I came back to view the reviews here and found that everyone else had these issues. Wasted $500. Not even sure if this unit is original Nvidia. Firmware version showing 0.0.1 (sudo nvbootctrl dump-slots-info) instead of something like 35.5.0
  • N/A
    5.0 out of 5 stars Absolutely awesome
    Reviewed in the United States on May 11, 2024
    I have this one to complement my nano as well as my raspberry pi 5’s and 4’s. Orin is awesome its fast and works great for my robotics projects. Crazy fast……
  • Lam Nguyen
    3.0 out of 5 stars Good hardware. Not user friendly. Install Jetpack 5 not 6
    Reviewed in the United States on July 11, 2024
    After 4 days I finally got this running. The hardware is powerful for something so small. But honestly, it was nightmare to set this up because of the crappy software. First of all, the Jetpack 6 OS doesn't flash for models built before May 2024 unless you first install Jetpack 5 to update the firmware. And even then, Jetpack 6 only works on SD cards at this time, not on NVME drives. To use an NVME drive, you need to use Jetpack 5.1.13.... But nobody mentioned this in the docs. I had to delete Ubuntu 22 and install Ubuntu 20 on a laptop to successfully flash the Jetson. Also installing Pytorch and OpenCV with GPU support was a horrible experience. If you do it wrong, there will be no GPU support or some arcane error will happen. There are a lot of little dumb things. For example, Bluetooth Audio is disabled by default and you have to go to this random file to enable it again in order to use Bluetooth speakers or headphones. Visual Studio Code is not available on the Store. You have to search on somebody's website to download it.

    Eventually I did get it running like a normal Ubuntu computer with a GPU and I love it. But if I hadn't already thrown out the box and 3D printed a case for it... Probably would have just returned it.

    What the Dev team at Nvidia needs to do is to streamline and simplify the process so out of the box so that this thing operates like a cool minicomputer that you just boot up and use and then can later modify for robotics work. I had to search various YouTube videos, and internet forums to get this running... If I wasn't already experienced with Linux, and computer vision stuff... This product would have been impossible to use.
    Customer image
    Lam Nguyen
    3.0 out of 5 stars Good hardware. Not user friendly. Install Jetpack 5 not 6
    Reviewed in the United States on July 11, 2024
    After 4 days I finally got this running. The hardware is powerful for something so small. But honestly, it was nightmare to set this up because of the crappy software. First of all, the Jetpack 6 OS doesn't flash for models built before May 2024 unless you first install Jetpack 5 to update the firmware. And even then, Jetpack 6 only works on SD cards at this time, not on NVME drives. To use an NVME drive, you need to use Jetpack 5.1.13.... But nobody mentioned this in the docs. I had to delete Ubuntu 22 and install Ubuntu 20 on a laptop to successfully flash the Jetson. Also installing Pytorch and OpenCV with GPU support was a horrible experience. If you do it wrong, there will be no GPU support or some arcane error will happen. There are a lot of little dumb things. For example, Bluetooth Audio is disabled by default and you have to go to this random file to enable it again in order to use Bluetooth speakers or headphones. Visual Studio Code is not available on the Store. You have to search on somebody's website to download it.

    Eventually I did get it running like a normal Ubuntu computer with a GPU and I love it. But if I hadn't already thrown out the box and 3D printed a case for it... Probably would have just returned it.

    What the Dev team at Nvidia needs to do is to streamline and simplify the process so out of the box so that this thing operates like a cool minicomputer that you just boot up and use and then can later modify for robotics work. I had to search various YouTube videos, and internet forums to get this running... If I wasn't already experienced with Linux, and computer vision stuff... This product would have been impossible to use.
    Images in this review
    Customer image
  • Amazon Customer
    4.0 out of 5 stars Overpriced for what you get. No RTC battery.
    Reviewed in the United States on December 13, 2024
    It works.
  • M. Wester
    5.0 out of 5 stars A definite improvement
    Reviewed in the United States on July 7, 2023
    The Jetson Orin Nano is much, much faster than the original nano. It's probably comparable to the Jetson Xavier (I have one) but it feels faster and the Jetpack for it works better. Think of it as a Raspberry Pi designed for machine learning. It does consume a decent amount of power, especially when crunching through images. Make sure to add an M.2 memory card (256G or higher) and flash to the M.2 as it runs orders of magnitude faster than the SD card. For beginners, it's just like running Ubuntu on a RPi. If you've never used an SBC like this with linux, you'll be in for a bit of a learning curve.
  • Tristan Warburton
    5.0 out of 5 stars Calling it now!
    Reviewed in the United States on October 12, 2023
    This is absolutely gonna be the board inside of the NG (Next Gen) Switch released in 2024!

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