NVIDIA Jetson Nano Developer Kit

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Important: The NVIDIA Jetson Nano Developer Kit is now shipping! Backorders are being fulfilled in the order they are recieved. The current lead time from the manufacturer is ~3 weeks. We will be updating this as we continue to recieve our intial fulfillment orders; thanks for being patient with us!

Cue theme music..."Meet NVIDIA Jetson!" The latest addition the Jetson family, the NVIDIA® Jetson Nano™ Developer Kit delivers the performance to run modern AI workloads in a small form factor, power-efficient (consuming as little as 5 Watts), and low cost. Developers, learners, and makers can 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. We at SparkFun see this as more than enough potential to be yelling "Stop this crazy thing" to your friends & family!

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 AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

  • NVIDIA Jetson Nano module and carrier board
  • Dark ESD bag
  • Quick start guide/support guide
  • GPU 128-core Maxwell™ GPU
  • CPU Quad-core ARM A57
  • Memory 4 GB 64-bit LPDDR4 | 25.6 GB/s
  • 10/100/1000BASE-T Ethernet
  • Storage microSD (not included)
  • Video Encode 4Kp30| 4x 1080p30| 9x 720p30 (H.264/H.265)
  • Video Decoder4Kp60| 2x 4Kp30| 8x 1080p30| 18x 720p30| (H.264/H.265)
  • Micro-USB 5V 2A
  • DC power adapter 5V 4A
  • USB 3.0 Type A
  • USB 2.0 Micro-B
  • HDMI/DisplayPort
  • M.2 Key E
  • Gigabit Ethernet
  • GPIOs, I2C, I2S, SPI, UART
  • MIPI-CSI camera connector
  • Fan connector
  • PoE connector
  • Dimensions: 100mm x 80mm x 29mm

NVIDIA Jetson Nano Developer Kit Product Help and Resources

Core Skill: Programming

If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code.

4 Programming

Skill Level: Experienced - You will require a firm understanding of programming, the programming toolchain, and may have to make decisions on programming software or language. You may need to decipher a proprietary or specialized communication protocol. A logic analyzer might be necessary.
See all skill levels

Core Skill: Electrical Prototyping

If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.

2 Electrical Prototyping

Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
See all skill levels


Looking for answers to technical questions?

We welcome your comments and suggestions below. However, if you are looking for solutions to technical questions please see our Technical Assistance page.

  • Any ETA of a new stock?

  • I appreciate the sense of humor in regards to the RTC & have added the SparkFun Big Time Watch kit to the list of hookup accessories! We are equally excited about this new Jetson and should be getting our demo kit any day now. Our latest ETA on the fulfillment of our initial order from Nvidia is early next week; (fingers crossed).

  • Take my money.

    Wall clock added to bom for robot to read.

  • This time it's more tongue-in-cheek, but I don't see any sign of a Real Time Clock Calendar... how's the AI going to answer the question "what time is it?" (OK, it'll likely that the module is going to have an Internet connection, so it can do a quick check with time.gov website...)

    BTW, I fully realize that in most applications it will be running some form of NTP daemon to at least keep the local network stuff in time sync.

    Sidelight: Looking forward to getting the Edge Development Board which does have an on-chip RTC. Hoping that I'll have some time to play with it when it comes!

  • Got my nano from SF the other day.

    Built a case for it if you guys need one.


  • Got the nano and power supply from you on Saturday. Something is wrong though because it tends to just "lose power". It turns off and the power light is no longer illuminated. I thought I was overheating it but that is not the case.

    Seems to always happen in the middle of running the imagenet-console example.

    I'm going to order their suggested power supply and try that. If it still fails going to have to return this.

  • How many orders so far ??? I'm starting to work with nvidia GPUs at work. So the timing on Jetson Nano release is perfect.

  • Is there any ETA when boards start shipping? Any information on power connector? Thanks!

  • Please advise if the board has a JTAG connector for the CPU - or better yet, Trace (ETM or other).

    • I am not seeing anything in the documentation that specifically states it has either of these connectors. The module has an edge connector that mates with the Dev kit board to allow easier access to all the IO, etc... We are scheduled to get our first samples from Nvidia soon so we can play with them and create more specific documentation. Stay tuned...

  • No A/D :(

  • Don't get me wrong, I'm super excited for the Jetson Nano. Will there be any consideration for the more open source BeagleBone AI (https://beagleboard.org/ai)?

Customer Reviews

4 out of 5

Based on 3 ratings:

Currently viewing all customer reviews.

1 of 2 found this helpful:

Adding wi-fi is a chore.

Lovely little machine, but these are very early days. You’re going to have to dig through message boards and be willing to go through a lot of trial and error to add wifi or Bluetooth support. Expect a lot of “well, it worked for me” or “I have that problem too” dead end threads on those boards until there’s a larger user base trying to do the same things you’re trying to do. The good news is they’re largely sold out, which means there must be a lot of Nano users out there, so there’ll likely be better walk through for those of you who are new to Linux and its… special way of installing functionality.

0 of 2 found this helpful:

Very fast

This is a fast microcomputer. If you want something fast for video playback and overall computing without the footprint to work with your TV, this will do. The drawback is this will not support Win 10 OS if that is the system of choice. It is a Linux/Ubuntu machine.

If you're into robotics and/or multi video enhanced control/navigation, expect to hunt and peck NVIDIA for support material. You will be forever navigating here and there fighting fragmented support and wondering what they mean by "deep learning".