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Features
- 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.
Description
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.
Brand: NVIDIA
Model Name: Jetson Orin Nano 8GB
Ram Memory Installed Size: 8 GB
Memory Storage Capacity: 8 GB
CPU Model: Athlon
Processor: athlon
Wireless Type: Bluetooth
Brand: NVIDIA
Series: Jetson Orin Nano 8GB
Item model number: 945-137766-0000-000
Operating System: Linux
Item Weight: 1.7 pounds
Product Dimensions: 3.94 x 3.11 x 0.83 inches
Item Dimensions LxWxH: 3.94 x 3.11 x 0.83 inches
Processor Brand: Arm® Cortex-A78AE
Number of Processors: 1
Manufacturer: NVIDIA
Date First Available: March 21, 2023
Frequently asked questions
If you place your order now, the estimated arrival date for this product is:
Thursday, Sep 4
Yes, absolutely! You may return this product for a full refund within 30 days of receiving it.
To initiate a return, please visit our Returns Center.
View our full returns policy here.
To initiate a return, please visit our Returns Center.
View our full returns policy here.
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Top Amazon Reviews
Style: Developer Kit
This is five star blazing fast awesomeness for just $250. It’s like a raspberry pi on steroids. BUT there’s an issue straight out of the box for me where the browser, chromium wouldn’t work. This issue can be easily resolved by downloading a previous version of Snap, then holding it at that version. There’s an article on jetsonhacks titled “ Why Chromium Suddenly Broke on Jetson Orin (and How to Bring It Back)” that will give you the terminal commands. Happy hacking
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Reviewed in the United States on August 24, 2025 by robert d leonhard
Style: Developer Kit
great soc when u can get it for <$250. otherwise it's not worth it. I say that with dependence on what you want ti for. I wanted to play with LLMs. Note that native Ollama and RAM stripped down significanly (no gui, no vision.etc) one can host one LLM max 8B param. with that you'll be running with 10MB RAM to spare. Oh and get rid of the zram and create a 8-16gb swapfile.
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Reviewed in the United States on August 9, 2025 by It'sMeVictor
Style: Developer Kit
Quiet an impressive little edge computing device to start experimenting with AI. Not easy to setup though if you are not technical. However mine came with a power supply dead on arrival out of the box.
Reviewed in the United States on August 19, 2025 by Victor
Style: Developer Kit
Amazing powerful edge device. Nice for AI and computer vision.
Reviewed in the United States on August 23, 2025 by Walmy
Style: Developer Kit
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.
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Reviewed in the United States on July 11, 2024 by Lam Nguyen Lam Nguyen
Style: Developer Kit
Get used to seeing this error and having your whole docker based project crumble. Then you’ll be told “”Oh well, just simply recompile the kernel from source”. FYI our IT company wants $300 to compile a custom kernel from NVIDIA source and could not guarantee it would work. docker: Error response from daemon: failed to set up container networking: driver failed programming external connectivity on endpoint ollama (673848a3851b46a99c731d2b3e005901c4454ed00353da1eaaf4c34f78ac8510): Unable to enable DIRECT ACCESS FILTERING - DROP rule: (iptables failed: iptables --wait -t raw -A PREROUTING -p tcp -d [link removed] --dport 11434 ! -i docker0 -j DROP: iptables v1.8.7 (legacy): can't initialize iptables table `raw': Table does not exist (do you need to insmod?) Perhaps iptables or your kernel needs to be upgraded. (exit status 3)) Take a good look because they left out the core .ko module for the firewall. What a joke. Returning. I’m an AI developer not a kernel expert nor unpaid beta tester.
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Reviewed in the United States on March 9, 2025 by Quad Solutions Group
Style: Developer Kit
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.
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Reviewed in the United States on September 8, 2023 by Raul, T.
Style: Developer Kit
Sent with an upgraded firmware, direct setup using jetpack 6.2 via micro sd. Nice for an edge device. Currently running on 5MP CCTV streams running default yolo model on 15Watt power mode achieved 2 FPS.. not bad...
Reviewed in the United States on August 15, 2025 by Arief Ibrahim Wuller