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NVIDIA Jetson Nano Developer Kit

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  • NVIDIA Jetson Nano enables the development of millions of new small, low-power AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.
  • At just 70 x 45 mm, the Jetson Nano module is the smallest Jetson device. This production-ready System on Module (SOM) delivers big when it comes to deploying AI to devices at the edge across multiple industries—from smart cities to robotics.
  • Jetson Nano delivers 472 GFLOPs for running modern AI algorithms fast. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously, making it ideal for applications like entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.
  • Jetson Nano frees you to innovate at the edge. Experience powerful and efficient AI, computer vision, and high-performance computing at just 5 to 10 watt

Please note that this product is non-returnable and non-refundable.

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  • Overview
  • Specifications
  • Warranty & Returns
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Jetson Nano

Join the Revolution and Bring the Power of AI to Millions of Devices

Packing big performance into a small size, the NVIDIA Jetson Nano Developer Kit offers a cost-effective, power-efficient solution to run modern AI workloads, enabling developers, learners and makers to run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

module

A New Dimension in AI

At just 70 x 45 mm, the Jetson Nano module is the smallest Jetson device. This production-ready System on Module (SOM) delivers big when it comes to deploying AI to devices at the edge across multiple industries—from smart cities to robotics.


Big Compute Performance

Jetson Nano delivers 472 GFLOPs for running modern AI algorithms fast. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously, making it ideal for applications like entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.


Small Power Demands

Jetson Nano frees you to innovate at the edge. Experience powerful and efficient AI, computer vision, and high-performance computing at just 5 to 10 watts.


Expand for More

The developer kit 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.


NVIDIA JetPack

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.


Learn more about the NVIDIA 945-13450-0000-000

Warranty, Returns, And Additional Information
  • Warranty
  • Limited Warranty period (parts): 1 year
  • Limited Warranty period (labor): 1 year
  • Read full details
  • Return Policies
    • Return for refund within: non-refundable
    • Return for replacement within: non-replaceable
  • This item is covered by Newegg.com's Manufacturer Only Return Policy.
5/ 5
Very fast and easy to get started

Pros: - Super powerful computer considering the form factor. If you dream of painting reality with AR layers, this is the type of node you would need!
- m.2 for wifi adaptor
- Accelerated edge training possible & cluster training

Cons: - No built in wifi
- Not sure on the GPIO yet, still testing
- Power hungry

Overall Review: I thought about plugging in a usb Coral edge TPU for a mobile super computer but they use different versions of TensorFlow. I don't think training at the edge and using a tpu is possible yet. But this thing is bananas, probably one of the first computers capable of some autonomy. Trying to get mine to plug itself in, need a different battery though.

1 out of 1 people found this review helpful. Did you?
Ownership: 1 week to 1 month
Verified Owner
3/ 5
Easy Setup process, Decent Performance, but one was DOA

Pros: - Good performance for a simple SoM board.
- Decent expandability with peripherals

Cons: - One DOA board out of the two I ordered
- No on-board WiFi (but you should know this before you buy!)
- Still relatively new, so some software may have limited support (no real info on forums for things like Tensorflow, CUDA, etc.)
- No resources like whats available for the TX2 or Xavier (SoM pinouts, design guidelines, etc.)

Overall Review: - Sill definitely worth the price. Don't expect to train on here, but executing models and some object detection should be do-able.

2 out of 2 people found this review helpful. Did you?
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