Save up to 20% off select gift cards
Currently unavailable.
We don't know when or if this item will be back in stock.

NVIDIA Jetson Nano Developer Kit

4.6 out of 5 stars 274 ratings

Currently unavailable.
We don't know when or if this item will be back in stock.
Brand NVIDIA
Model Name Nano
Ram Memory Installed Size 4 GB
Memory Storage Capacity 16 GB
Connectivity Technology USB, Ethernet

About this item

  • NVIDIA Jetson Nano developer kit is a low-cost AI computer. It delivers the compute performance to run modern AI workloads at unprecedented size. It is incredibly power-efficient, consuming as little as 5 watts.
  • It is supported by NVIDIA Jetpack, used across the entire NVIDIA Jetson family of products, reducing complexity and overall effort for developers, learners, and makers.
  • NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. 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. It’s incredibly power-efficient, consuming as little as 5 watts. Jetson Nano is also supported by NVIDIA Jet Pack, available using an easy-to-flash SD card image, making it fast and easy to get started. This proven software stack reduces complexity and overall effort for developers.
Unwell Hydration from Alex Cooper
Hydrate & focus with every sip Shop now
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Videos for similar products

Top Brand: NVIDIA

Highly Rated
50K+ customers rate items from this brand highly
Trending
10K+ orders for this brand in past 3 months
Low Returns
Customers usually keep items from this brand

From the manufacturer

nvidia jetson nano

NVIDIA Jetson Nano

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.

developer kit, computer, nvidia jetson nano

NVIDIA Jetson Nano Developer Kit

This developer kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.

jetpack sdk, jetson nano

NVIDIA JetPack SDK

JetPack SDK is the most comprehensive solution for building AI applications and is fully compatible with NVIDIA’s AI platform for training and deploying AI software. Flash your Jetson Nano Developer Kit with the latest OS image, install developer tools for both host computer and developer kit, and jumpstart your development environment with libraries, APIs, samples and documentation.

jetson nano, ai

A New Dimension in AI

Jetson Nano is the smallest Jetson device, but it delivers big when it comes to deploying AI to devices at the edge. Use the developer kit to build your own project, or use it to prototype a full production-ready AI solution.

jetson nano, ai

Big Compute Capability

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 a wide range of applications.

jetson nano, ai, computer vision

Power-smart Performance

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.

What's in the box

  • 2x 15-pin 2-lane MIPI CSI-2 camera connectors
  • Product information

    Technical Details

    Collapse all
    RAM ‎4 GB LPDDR4
    Chipset Brand ‎nvidia
    Wireless Type ‎Bluetooth
    Brand ‎NVIDIA
    Series ‎Nano
    Item model number ‎945-13450-0000-000
    Operating System ‎Ubuntu
    Item Weight ‎8.8 ounces
    Product Dimensions ‎3.9 x 3.1 x 1.1 inches
    Item Dimensions LxWxH ‎3.9 x 3.1 x 1.1 inches
    Processor Brand ‎ARM
    Number of Processors ‎4
    Flash Memory Size ‎32
    Manufacturer ‎NVIDIA
    ASIN ‎B07PZHBDKT
    Date First Available ‎March 19, 2019

    Additional Information

    Customer Reviews
    4.6 out of 5 stars 274 ratings

    4.6 out of 5 stars
    Best Sellers Rank #4,709 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.

    Feedback

    NVIDIA Jetson Nano Developer Kit


    Found a lower price? Let us know. Although we can't match every price reported, we'll use your feedback to ensure that our prices remain competitive.

    Where did you see a lower price?

    Price Availability
    /
    /
    /
    /
    Please sign in to provide feedback.

    Product Description

    NVIDIA Jetson Nano developer kit is a low-cost AI computer. It delivers the compute performance to run modern AI workloads at unprecedented size. It is incredibly power-efficient, consuming as little as 5 watts.

    Customer reviews

    4.6 out of 5 stars
    274 global ratings

    Review this product

    Share your thoughts with other customers

    Customers say

    Customers find the Jetson Nano Developer Kit to be a powerful development board that works well for AI projects and is easy to set up and use. They appreciate its speed and consider it an absolute bargain for the price. The size receives mixed feedback, with some finding it fairly small while others note it's not suitable for HD streaming. Functionality also gets mixed reviews, with some customers reporting it doesn't work at all.

    AI-generated from the text of customer reviews

    18 customers mention "Learning capability"18 positive0 negative

    Customers find the single board computer to be an excellent tool for AI projects, with one customer specifically mentioning its effectiveness for deep learning.

    "This was a great project to that taught me a lot" Read more

    "...And once you've got a trained model running, it's fast, fun, and inspiring to work with...." Read more

    "...There are no incompatibilities nor issues. It also comes with a full developers kit for Artificial Intelligence development. Why?..." Read more

    "...very compact - options for power supplies - works with Ubuntu, so it is easier to get around and pretty. -..." Read more

    17 customers mention "Quality"17 positive0 negative

    Customers praise the quality of the Jetson Nano Developer Kit, highlighting its awesome hardware, with one customer specifically noting its Intelligent Systems design.

    "...the Jetson Nano is a System on Module, and is specifically built with Intelligent Systems design, Machine Learning, Robotics, etc.,..." Read more

    "Very very nice bare bones development board. I'm using it for telemetry processing and graphic visual rendering of such live data...." Read more

    "First of all, the hardware is awesome. Especially for under $100...." Read more

    "Nvidia provides an impressive dev board for delving into AI at an affordable price...." Read more

    15 customers mention "Power"15 positive0 negative

    Customers find the single board computer powerful, with one customer noting it easily outperforms the mSD card, while another mentions it provides just the right amount of processing power.

    "...as its primary purpose. 2. - The Jetson Nano, while quite capable, is not meant to be a set top box by any means - if that is what you are..." Read more

    "...Very capable board for developing your AI software. Not nearly as fast as dedicated AI hadware or even a good desktop at learning...." Read more

    "Better than the RPi in theory but the Jetson line has major I2C problems (among other issues) that are not well supported...." Read more

    "...Still a great device at a great price." Read more

    9 customers mention "Ease of setup"9 positive0 negative

    Customers find the single board computer easy to set up and use.

    "...and running whilst being fairly stable, the Nano is probably the easiest setup I've experienced in a while...." Read more

    "...Very easy and quick to get going. nVidia did us right with this one...." Read more

    "...at this point because once you've set up your toolchain it's very straightforward." Read more

    "...works with Ubuntu, so it is easier to get around and pretty. - actually handled my 4k display without crashing. - fast Ethernet..." Read more

    7 customers mention "Value for money"7 positive0 negative

    Customers find the single board computer to be an absolute bargain for the price.

    "...Even if used as a standard SBC - the Nano is a great deal (the Shield is even better a deal for that though imo) compared to many other boards that..." Read more

    "Nvidia provides an impressive dev board for delving into AI at an affordable price...." Read more

    "...Still a great device at a great price." Read more

    "I have worked with many SBCs. This is by far my favorite in this price range...." Read more

    4 customers mention "Speed"4 positive0 negative

    Customers find the single board computer fast, with one mentioning its GPU acceleration and another noting its fast Ethernet capabilities.

    "...And once you've got a trained model running, it's fast, fun, and inspiring to work with...." Read more

    "...actually handled my 4k display without crashing. - fast Ethernet Overall, I wish I waited before getting this...." Read more

    "...It can run several neural networks with GPU acceleration, I even managed to upgrade its ubuntu system to 19.04...." Read more

    "Wow it is fast but I wish it came with accessories.... you only get the nano and that’s it ...." Read more

    6 customers mention "Size"4 positive2 negative

    Customers have mixed opinions about the size of the single board computer, with some finding it fairly small, while another customer notes it's too small for HD streaming.

    "...It's still more than adequate for a portable device you can experiment with in the field (after you let a strong machine do the learning.)..." Read more

    "...The pictures seem to make the board look somewhat large - and while it is bigger than the RPi standard, it is still fairly small. It's approx...." Read more

    "...Pros: - much more powerful than other boards - very compact - options for power supplies -..." Read more

    "Small but powerful..." Read more

    5 customers mention "Functionality"3 positive2 negative

    Customers have mixed experiences with the single board computer's functionality, with some reporting it did not work at all.

    "...put this device together with several modules and a case, and it all worked out well. It runs Ubuntu Linux, so you gotta love that!" Read more

    "...Never output anything, though power light came on and fan received power...." Read more

    "...Nano is my go to desktop it's plenty powerful for me and plays YouTube videos great...." Read more

    "the product is not transparent. It is made out of wood. This does not work for me." Read more

    First impressions w the Nano are quite positive - Nvidia has delivered a high-quality learning tool
    5 out of 5 stars
    First impressions w the Nano are quite positive - Nvidia has delivered a high-quality learning tool
    A few notes on the Jetson Nano from the start: 1. - The Jetson Nano, despite it's likeness to other Single Board Computers, it is categorically different than other SBCs with an ARM SoC. Indeed, the Jetson Nano is a System on Module, and is specifically built with Intelligent Systems design, Machine Learning, Robotics, etc., as its primary purpose. 2. - The Jetson Nano, while quite capable, is not meant to be a set top box by any means - if that is what you are looking for, the Nvidia Shield TV is a rather well developed platform and would be significantly more satisfying for the home theatre setting and at a fairly similar price (the Shield comes w a Power Supply, Internal Flash Storage, WiFi and Bluetooth, a custom build of Android TV, etc.). I pre-ordered the Jetson Nano a few days after Nvidia announced its imminent release - after approx. 3wks or so, I finally received it. I had downloaded the Jetpack image file and flashed it to an SD card in anticipation of its arrival - so, setup was fast and simple. The Nano currently has Ubuntu as the primary OS, & while I am not a fan of Ubuntu, it is the cleanest OS I've encountered on an SBC, next to Raspbian and the Raspberry Pi. Compared to the Rock64, the Tritium H5, the Odroid XU4 etc., getting the Nano up and running whilst being fairly stable, the Nano is probably the easiest setup I've experienced in a while. Conversely, given the board's purpose, a ML learning platform, it has been a challenge for me for different reasons - but nothing I didn't expect. As for the board, it does not come with a power supply and it can accept power via micro-USB, through the carrier board pinouts, or through a barrel jack. It is meant to run at 10W in default mode, but is capable of a 5W mode. To operate the board at 10W, do not power the board via micro-USB. If you do and add peripherals, the board will crash rather easily. I used the same 5V/4A power supply I ordered for my Odroid XU4 and it works perfect (you will need a jumper - pictured - to select how you will power the board). The Nano requires a mSD card like most SBCs - a UHS-I, U3, Class 10 card is needed to get up and going properly; however, with 4 USB3 ports, I transferred my install to a spare SSD and it easily outperforms the mSD card. Also required - a WiFi/Bluetooth dongle or a PCIe Key A/E card, which can be installed under the module. Without, you will be forced to use the onboard Gigabit Ethernet connection. The pictures seem to make the board look somewhat large - and while it is bigger than the RPi standard, it is still fairly small. It's approx. the same length of an 2.5" SSD and slightly larger compared to the width of an SSD. The Module does have a large heat sink - again, it appears to be much larger than it actually is - the heatsink mounts a 40mm x 40mm fan for perspective. So, I know Nvidia has lost popularity over the last few years due to their GPUs; however, I have to admit, the Jetson Nano is a really great deal. Even if used as a standard SBC - the Nano is a great deal (the Shield is even better a deal for that though imo) compared to many other boards that cost the same or more. The benefit with the Nano is the access to the Jetson Package and a platform to learn and test the Cuda software. It will even have demos to see the Jetson's capabilities that come with the Ubuntu install. Again, these are just my first impressions of the board - compared to several other SBCs I own, I can already say the Nano handily bests all of them. The RPi3B+ with its community and price point is also a good deal, but it is an entirely different type of learning platform. I would say if the Nano has sparked your interest and you're not expecting an even better Shield TV...and if you are adept with Linux, then the Nano is a great deal. I would definitely recommend giving it a go.
    Thank you for your feedback
    Sorry, there was an error
    Sorry we couldn't load the review

    Top reviews from the United States

    • Reviewed in the United States on May 1, 2019
      A few notes on the Jetson Nano from the start:
      1. - The Jetson Nano, despite it's likeness to other Single Board Computers, it is categorically different than other SBCs with an ARM SoC. Indeed, the Jetson Nano is a System on Module, and is specifically built with Intelligent Systems design, Machine Learning, Robotics, etc., as its primary purpose.
      2. - The Jetson Nano, while quite capable, is not meant to be a set top box by any means - if that is what you are looking for, the Nvidia Shield TV is a rather well developed platform and would be significantly more satisfying for the home theatre setting and at a fairly similar price (the Shield comes w a Power Supply, Internal Flash Storage, WiFi and Bluetooth, a custom build of Android TV, etc.).

      I pre-ordered the Jetson Nano a few days after Nvidia announced its imminent release - after approx. 3wks or so, I finally received it. I had downloaded the Jetpack image file and flashed it to an SD card in anticipation of its arrival - so, setup was fast and simple. The Nano currently has Ubuntu as the primary OS, & while I am not a fan of Ubuntu, it is the cleanest OS I've encountered on an SBC, next to Raspbian and the Raspberry Pi. Compared to the Rock64, the Tritium H5, the Odroid XU4 etc., getting the Nano up and running whilst being fairly stable, the Nano is probably the easiest setup I've experienced in a while. Conversely, given the board's purpose, a ML learning platform, it has been a challenge for me for different reasons - but nothing I didn't expect.

      As for the board, it does not come with a power supply and it can accept power via micro-USB, through the carrier board pinouts, or through a barrel jack. It is meant to run at 10W in default mode, but is capable of a 5W mode. To operate the board at 10W, do not power the board via micro-USB. If you do and add peripherals, the board will crash rather easily. I used the same 5V/4A power supply I ordered for my Odroid XU4 and it works perfect (you will need a jumper - pictured - to select how you will power the board).

      The Nano requires a mSD card like most SBCs - a UHS-I, U3, Class 10 card is needed to get up and going properly; however, with 4 USB3 ports, I transferred my install to a spare SSD and it easily outperforms the mSD card. Also required - a WiFi/Bluetooth dongle or a PCIe Key A/E card, which can be installed under the module. Without, you will be forced to use the onboard Gigabit Ethernet connection.

      The pictures seem to make the board look somewhat large - and while it is bigger than the RPi standard, it is still fairly small. It's approx. the same length of an 2.5" SSD and slightly larger compared to the width of an SSD. The Module does have a large heat sink - again, it appears to be much larger than it actually is - the heatsink mounts a 40mm x 40mm fan for perspective.

      So, I know Nvidia has lost popularity over the last few years due to their GPUs; however, I have to admit, the Jetson Nano is a really great deal. Even if used as a standard SBC - the Nano is a great deal (the Shield is even better a deal for that though imo) compared to many other boards that cost the same or more. The benefit with the Nano is the access to the Jetson Package and a platform to learn and test the Cuda software. It will even have demos to see the Jetson's capabilities that come with the Ubuntu install.

      Again, these are just my first impressions of the board - compared to several other SBCs I own, I can already say the Nano handily bests all of them. The RPi3B+ with its community and price point is also a good deal, but it is an entirely different type of learning platform. I would say if the Nano has sparked your interest and you're not expecting an even better Shield TV...and if you are adept with Linux, then the Nano is a great deal. I would definitely recommend giving it a go.
      Customer image
      5.0 out of 5 stars
      First impressions w the Nano are quite positive - Nvidia has delivered a high-quality learning tool

      Reviewed in the United States on May 1, 2019
      A few notes on the Jetson Nano from the start:
      1. - The Jetson Nano, despite it's likeness to other Single Board Computers, it is categorically different than other SBCs with an ARM SoC. Indeed, the Jetson Nano is a System on Module, and is specifically built with Intelligent Systems design, Machine Learning, Robotics, etc., as its primary purpose.
      2. - The Jetson Nano, while quite capable, is not meant to be a set top box by any means - if that is what you are looking for, the Nvidia Shield TV is a rather well developed platform and would be significantly more satisfying for the home theatre setting and at a fairly similar price (the Shield comes w a Power Supply, Internal Flash Storage, WiFi and Bluetooth, a custom build of Android TV, etc.).

      I pre-ordered the Jetson Nano a few days after Nvidia announced its imminent release - after approx. 3wks or so, I finally received it. I had downloaded the Jetpack image file and flashed it to an SD card in anticipation of its arrival - so, setup was fast and simple. The Nano currently has Ubuntu as the primary OS, & while I am not a fan of Ubuntu, it is the cleanest OS I've encountered on an SBC, next to Raspbian and the Raspberry Pi. Compared to the Rock64, the Tritium H5, the Odroid XU4 etc., getting the Nano up and running whilst being fairly stable, the Nano is probably the easiest setup I've experienced in a while. Conversely, given the board's purpose, a ML learning platform, it has been a challenge for me for different reasons - but nothing I didn't expect.

      As for the board, it does not come with a power supply and it can accept power via micro-USB, through the carrier board pinouts, or through a barrel jack. It is meant to run at 10W in default mode, but is capable of a 5W mode. To operate the board at 10W, do not power the board via micro-USB. If you do and add peripherals, the board will crash rather easily. I used the same 5V/4A power supply I ordered for my Odroid XU4 and it works perfect (you will need a jumper - pictured - to select how you will power the board).

      The Nano requires a mSD card like most SBCs - a UHS-I, U3, Class 10 card is needed to get up and going properly; however, with 4 USB3 ports, I transferred my install to a spare SSD and it easily outperforms the mSD card. Also required - a WiFi/Bluetooth dongle or a PCIe Key A/E card, which can be installed under the module. Without, you will be forced to use the onboard Gigabit Ethernet connection.

      The pictures seem to make the board look somewhat large - and while it is bigger than the RPi standard, it is still fairly small. It's approx. the same length of an 2.5" SSD and slightly larger compared to the width of an SSD. The Module does have a large heat sink - again, it appears to be much larger than it actually is - the heatsink mounts a 40mm x 40mm fan for perspective.

      So, I know Nvidia has lost popularity over the last few years due to their GPUs; however, I have to admit, the Jetson Nano is a really great deal. Even if used as a standard SBC - the Nano is a great deal (the Shield is even better a deal for that though imo) compared to many other boards that cost the same or more. The benefit with the Nano is the access to the Jetson Package and a platform to learn and test the Cuda software. It will even have demos to see the Jetson's capabilities that come with the Ubuntu install.

      Again, these are just my first impressions of the board - compared to several other SBCs I own, I can already say the Nano handily bests all of them. The RPi3B+ with its community and price point is also a good deal, but it is an entirely different type of learning platform. I would say if the Nano has sparked your interest and you're not expecting an even better Shield TV...and if you are adept with Linux, then the Nano is a great deal. I would definitely recommend giving it a go.
      Images in this review
      Customer imageCustomer imageCustomer imageCustomer imageCustomer imageCustomer imageCustomer image
      88 people found this helpful
      Report
    • Reviewed in the United States on March 28, 2025
      This was a great project to that taught me a lot
    • Reviewed in the United States on November 25, 2019
      The software available for this unit is free for download IF you register and IF you can stand nVidia's forum format. Worst of all is the method nVidia chose to be able to boot this beast from SD card. Also, it ONLY supports booting from SD card. The above 2 unpleasant parts almost cost it a star, but it is so great overall that it still gets 5 stars.
      Very capable board for developing your AI software. Not nearly as fast as dedicated AI hadware or even a good desktop at learning. It's still more than adequate for a portable device you can experiment with in the field (after you let a strong machine do the learning.)
      It is a big plus that nVidia adopted the RPi pinouts on it's 40 pin section, but watch out for the small but not insignificant differences or you could release the magic smoke.
      3 people found this helpful
      Report
    • Reviewed in the United States on November 30, 2019
      Very very nice bare bones development board. I'm using it for telemetry processing and graphic visual rendering of such live data. Software has gotten better than when I was using the Jetson TX1 couple years ago. Very easy and quick to get going. nVidia did us right with this one.

      For anyone that is curious I used a 32 GB microSD card and during install it auto-expanded the root partition to utilize the entire card. I also attached a WD 314 GB USB HDD, formatted ext4, for project files compiling and large media storage. And using the barrel power connector instead of microUSB (via power bypass jumper).
      3 people found this helpful
      Report
    • Reviewed in the United States on August 20, 2019
      First of all, the hardware is awesome. Especially for under $100. And once you've got a trained model running, it's fast, fun, and inspiring to work with.
      But for any newcomers to the NVIDIA AI ecosystem, there's a lot of proprietary lingo to learn and it can take some time to understand what NVIDIAs tools are actually meant to do (the NGC cloud for example).
      With that said, it's more of a documentation issue at this point because once you've set up your toolchain it's very straightforward.
      3 people found this helpful
      Report
    • Reviewed in the United States on August 31, 2019
      I have other ARM PCs from Odroid XU4 and Raspberry Pi2, and neither compare to the Jetson Nano. The Pi's have excellent support, but are vastly underpowered. The Odroids have power, but HardKernel can never make a stable Linux drivers to go with it.

      Now here comes the Jetson Nano from NVidia, the top GPU manufacturer. The Nano comes with a fully supported LTS Ubuntu distribution fully customized and supported for the Jetson Nano. There are no incompatibilities nor issues. It also comes with a full developers kit for Artificial Intelligence development. Why? Well this sucker has an NVidiia GPU onboard. It's a Tegra on steroids. The community already have projects for facial recognition, self-driving robots, etc. It's quite the little board.

      It boots off the SD Card, but also has a mini-PCI-E slot under the module. The distribution of Ubuntu is "minimized" to have a small storage footprint, but you can "unminimize" it to a full blown Ubuntu desktop distribution to restore any Linux utilities you want. So, if you are wondering where all of the man pages went, well you have to unminimize first.

      sudo /usr/local/sbin/unminimize

      Voila, it's a normal Ubuntu distribution with all of the Jetson Nano extras.

      The GPU is exploited in the GStreamer app for video, if you want to watch 4K video.

      It is compatible with the second version of the Raspberry Pi camera, but I recommend getting a better one anyway, but it will work with that one, if that is what you have.

      The expansion bus is fully Pi compatible, but cards plug to side, and not on top of the board (due to the large heat sink being in the way).

      It runs fine off of the USB power port, but if you are going to be doing some heavy computing, then I recommend powering it from the power plug with a 5V @ 5 amps supply.
      12 people found this helpful
      Report

    Top reviews from other countries

    Translate all reviews to English
    • Upshanth
      5.0 out of 5 stars Best Service
      Reviewed in India on March 8, 2025
      The order is done very well with the shipping. The product is what we wanted and meets our expectations. We are talking part in a robocon competition and this purchase will help us in computer vision
    • Maik Groneberg
      5.0 out of 5 stars Super Soc für leichte KI Anwendungen in mobilen Anwendungen
      Reviewed in Germany on January 31, 2021
      Schöner kleiner PC mit gut angepassten Betriebssystem auf Ubuntu Basis.

      Ermöglicht einen einfachen Einstieg für einfache KI Anwendungen.

      Für den Preis gute Leistung und geringer Energieverbrauch. Da lassen sich schon einiger Prototypen draus basteln.

      Für manche Anwendungen ist der RAM recht klein, dann lieber für eine der größeren Jetsons entscheiden.

      Es gibt viel Zubehör.
      Report
    • anonymous
      4.0 out of 5 stars リビジョン注意
      Reviewed in Japan on March 10, 2020
      opencvをホビーでやる分にはラズパイ4より速くていいです。CUDAも使えるし。その他含めた汎用性はラズパイの方がありそうですが。
      私が買ったのは旧リビジョンですが、最近新リビジョンが売られています。商品写真は新旧混在しているのでどちらが送られくるか確信もてません。情報が追加されるのを待った方がいいかも。
    • Soumya Shekhar
      5.0 out of 5 stars Awsm product n thanks to Amazon
      Reviewed in India on October 24, 2019
      Awsm product .... at first got a defective one ( defect in its barrel jack) but then got the right one after a replacement ..... thanks to Amazon
    • snk
      4.0 out of 5 stars Extremely powerful hardware letdown a little with quirky software
      Reviewed in India on June 6, 2019
      Likes
      1. 128 Nvidia graphics cuda cores
      2. Easy to download operating system and install from Nvidia website
      3. Very fast even from a memory card
      4. Lots of documentation
      5. Machine learning examples
      6. Gigabit ethernet is faster than gigabit ethernet of PC
      7. Temperatures never cross 45 even under moderate load, thanks to bundled heatsink
      8. Excellent full fledged User Interface
      9. Kernel is like real-time and everything feels snappy
      10. 64 bit arm, wow!!
      11. Excellent power management, runs in low power mode if you supply less power and runs like pc if you supply additional power which is well documented
      12. Man it supports 4k monitor, kudos nvidia

      Dislikes
      1. No case or proper stand, no screws or latch, I have to build my own case by drilling holes in a plastic hard disk case to convert into a stand, used old ssd screws to tighten the motherboard
      2. You are stuck with Ubuntu provided by Nvidia,not as open as raspberry pi or intel nuc which allows freedom to install any operating system of your choice
      3. No wifi or Bluetooth
      4. No jumper provided which is required to use power other than usb
      5. Installing tensorflow takes forever as it builds all the packages on jetson, ideally they should be downloadable binaries
      6. Missing Hardware Acceleration Since its arm64 chrome or firefox doesn’t support hardware decoding of videos, you are stuck with the arm processors eventhough there are 128 graphics cores
      8. Hardware acceleration for video decoding is a closed box, very little documentation to achieve hardware acceleration for videos using kodi/vlc/mplayer
      One person found this helpful
      Report