Difference between revisions of "Jetson Nano"

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NVIDIA '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano]''' is an embedded system-on-module (SoM) and developer kit from the '''[https://developer.nvidia.com/buy-jetson NVIDIA Jetson]''' family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O.  
+
NVIDIA '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano]''' is an embedded system-on-module (SoM) and developer kit from the [https://developer.nvidia.com/buy-jetson NVIDIA Jetson] family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O.  There is also the '''[https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit]''' with 2GB memory and the same processing specs.
  
 
Useful for deploying computer vision and deep learning, Jetson Nano runs Linux and provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption.
 
Useful for deploying computer vision and deep learning, Jetson Nano runs Linux and provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption.
  
Jetson Nano is currently available as the '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]''' for $99, and the production '''[https://developer.nvidia.com/embedded/jetson-nano compute module]'''.  See the wiki of the other Jetson's '''[[Jetson|here]]'''.
+
Jetson Nano is currently available as the '''[https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]''' for $99, the '''[https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit]''' for $59, and the production [https://developer.nvidia.com/embedded/jetson-nano compute module].  See the wiki of the other Jetson's [[Jetson|here]].
  
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{{spaces|1}} <span style="font-family: Trebuchet MS; color: white;">'''Technical Blog''' — </span>''[https://devblogs.nvidia.com/jetson-nano-ai-computing <span style="font-family: Trebuchet MS; color:white;">NVIDIA Jetson Nano Brings AI to Everyone</span>]''
+
{{spaces|1}} <span style="font-family: Trebuchet MS; color: white;">'''Technical Blog''' — </span>''[https://developer.nvidia.com/blog/ultimate-starter-ai-computer-jetson-nano-2gb-developer-kit <span style="font-family: Trebuchet MS; color:white;">Introducing the Ultimate Starter AI Computer, the NVIDIA Jetson Nano 2GB Developer Kit</span>]''
 
|}
 
|}
 
<br />
 
<br />
  
[[File:Jetson_Nano_Family.png|right|text-bottom]]
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[[File:Jetson_Nano_Family.png|thumb|500px|right|text-bottom|link=https://developer.nvidia.com/embedded/buy/jetson-nano-devkit|Jetson Nano Developer Kit and compute module]]
 +
[[File:NVIDIA-Jetson-Nano-2GB-Package-1000px.jpg|thumb|500px|right|text-bottom|link=https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit|Jetson Nano 2GB Developer Kit]]
  
 
= Jetson Nano Developer Kit =
 
= Jetson Nano Developer Kit =
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The [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit] is an easy way to get started using Jetson Nano, including the module, carrier board, and software.  It costs $99 and is available from distributors worldwide.
 
The [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit] is an easy way to get started using Jetson Nano, including the module, carrier board, and software.  It costs $99 and is available from distributors worldwide.
  
[[File:Jetson_Nano_Developer_Kit_P3449_B01.jpg|450px|right]]
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[[File:Jetson_Nano_Developer_Kit_P3449_B01.jpg|thumb|450px|right|link=https://developer.nvidia.com/embedded/buy/jetson-nano-devkit|Jetson Nano Developer Kit]]
 +
[[File:Nvidia-Jetson-Nano-2GB-Dev-Kit-1123x870.jpg|thumb|450px|right|link=https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit|Jetson Nano 2GB Developer Kit]]
 +
 
 +
There is also the [https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit] available for $59, which has 2GB memory and the same 472-GFLOPS processing performance.
  
 
=== What's Included ===
 
=== What's Included ===
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=== What You Will Need ===
 
=== What You Will Need ===
 
* Power Supply
 
* Power Supply
** 5V⎓2A Micro-USB adapter (see [https://www.adafruit.com/product/1995 Adafruit GEO151UB])
+
** Jetson Nano Developer Kit ''(Micro-USB or DC barrel jack)''
** 5V⎓4A DC barrel jack adapter, 5.5mm OD x 2.1mm ID x 9.5mm length, center-positive (see [https://www.adafruit.com/product/1466 Adafruit 1446])
+
*** 5V⎓2.5A Micro-USB adapter (see [https://www.adafruit.com/product/1995 Adafruit GEO151UB])
** See the [[Jetson Nano#Power_Supplies|Power Supplies]] section below and [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ Power Supply Considerations] for more information.
+
*** 5V⎓4A DC barrel jack adapter, 5.5mm OD x 2.1mm ID x 9.5mm length, center-positive (see [https://www.adafruit.com/product/1466 Adafruit 1446])
* MicroSD card (16GB UHS-1 recommended minimum)
+
*** See the [https://developer.nvidia.com/embedded/dlc/jetson-nano-scl Jetson Nano Supported Component List] and [[Jetson Nano#Power_Supplies|Power Supplies]] section below for more information.
 +
** Jetson Nano 2GB Developer Kit ''(USB-C power supply)''
 +
*** 5V⎓3A USB-C adapter
 +
*** See the [https://developer.nvidia.com/embedded/learn/jetson-nano-2gb-devkit-user-guide#id-.JetsonNano2GBDeveloperKitUserGuidevbatuu_v1.0-SupportedComponentList Jetson Nano 2GB Supported Component List] and [[Jetson Nano#Power_Supplies|Power Supplies]] section below for more information.
 +
* MicroSD card (32GB UHS-1 recommended minimum)
  
 
=== Ports & Interfaces ===
 
=== Ports & Interfaces ===
* 4x USB 3.0 A (Host)  
+
{| class="wikitable" style="text-align: center;"
* USB 2.0 Micro B (Device)
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|-
* MIPI CSI-2 x2 (15-position Camera Flex Connector)
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! !! scope="col" width="50%" | [https://developer.nvidia.com/embedded/jetson-nano-developer-kit Jetson Nano Developer Kit] !! [https://developer.nvidia.com/embedded/jetson-nano-2gb-developer-kit Jetson Nano 2GB Developer Kit]
* HDMI 2.0
+
|-
* DisplayPort
+
| USB || (4x) USB 3.0 Type-A, USB 2.0 Micro-B || (1x) USB 3.0 Type-A, (2x) USB 2.0 Type-A, USB 2.0 Micro-B
* Gigabit Ethernet (RJ45)
+
|-
* M.2 Key-E with PCIe x1
+
| Camera || (2x) MIPI CSI-2 x2 (15-position Camera Flex Connector) || (1x) MIPI CSI-2 x2 (15-position Camera Flex Connector)
* MicroSD card slot
+
|-
* (3x) I2C, (2x) SPI, UART, I2S, GPIOs
+
| Display || HDMI 2.0, DisplayPort || HDMI 2.0
 +
|-
 +
| Wireless || M.2 Key-E (PCIe x1) || 802.11ac USB dongle*
 +
|-
 +
| Ethernet
 +
| colspan="2" style="text-align: center;" | Gigabit Ethernet (RJ45)
 +
|-
 +
| Storage
 +
| colspan="2" style="text-align: center;" | MicroSD card slot
 +
|-
 +
| Other
 +
| colspan="2" style="text-align: center;" | 40-pin Header - (3x) I2C, (2x) SPI, UART, I2S, GPIOs
 +
|-
 +
| Power || Micro-USB (5V⎓2.5A) or DC barrel jack (5V⎓4A) || USB-C (5V⎓3A)
 +
|}
 +
<small>* Not initially available in all regions</small>
  
 
=== Getting Started ===
 
=== Getting Started ===
* Follow the '''[https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit Getting Started with Jetson Nano Guide]''' to setup your devkit and format the MicroSD card.<br />
+
* Follow the Getting Started guide for your respective Jetson Nano to setup your devkit and format the MicroSD card:
 +
** '''[https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit Getting Started With Jetson Nano Developer Kit]''' (4GB)
 +
** '''[https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-2gb-devkit#intro Getting Started with Jetson Nano 2GB Developer Kit]'''
 
* Plug in an HDMI display into Jetson, attach a USB keyboard & mouse, and apply power to boot it up. <br />
 
* Plug in an HDMI display into Jetson, attach a USB keyboard & mouse, and apply power to boot it up. <br />
* Visit the '''[https://developer.nvidia.com/embedded-computing Embedded Developer Zone]''' and '''[https://devtalk.nvidia.com/default/board/371/jetson-nano/ Jetson Nano Developer Forum]''' to access the latest documentation & downloads.
+
* Visit the [https://developer.nvidia.com/embedded-computing Embedded Developer Zone] and [https://devtalk.nvidia.com/default/board/371/jetson-nano/ Jetson Nano Developer Forum] to access the latest documentation & downloads.
  
 
=== Availability ===
 
=== Availability ===
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= Software Support =  
 
= Software Support =  
 
<div style="width:40%;column-count:2;-moz-column-count:2;-webkit-column-count:2">
 
<div style="width:40%;column-count:2;-moz-column-count:2;-webkit-column-count:2">
* [https://developer.nvidia.com/embedded/jetpack JetPack 4.2.2]
+
* [https://developer.nvidia.com/embedded/jetpack JetPack]
* [https://developer.nvidia.com/embedded/linux-tegra Linux4Tegra R32.2.1] (L4T)
+
* [https://developer.nvidia.com/embedded/linux-tegra Linux4Tegra] (L4T)
 
* Linux kernel 4.9
 
* Linux kernel 4.9
 
* Ubuntu 18.04 aarch64
 
* Ubuntu 18.04 aarch64
* [https://developer.nvidia.com/cuda-toolkit CUDA Toolkit] 10.0.326
+
* [https://developer.nvidia.com/cuda-toolkit CUDA Toolkit]
* [https://developer.nvidia.com/cudnn cuDNN] 7.5.0
+
* [https://developer.nvidia.com/cudnn cuDNN]
* [https://developer.nvidia.com/tensorrt TensorRT] 5.1.6
+
* [https://developer.nvidia.com/tensorrt TensorRT]
* [https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html TensorFlow] 1.14.0
+
* [https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html TensorFlow]
* [https://developer.nvidia.com/embedded/visionworks VisionWorks] 1.6
+
* [https://developer.nvidia.com/embedded/visionworks VisionWorks]
* OpenCV 3.3.1
+
* OpenCV 4.1
 
* OpenGL 4.6 / OpenGL ES 3.2.5
 
* OpenGL 4.6 / OpenGL ES 3.2.5
 
* Vulkan 1.1.1
 
* Vulkan 1.1.1
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* GStreamer 1.14.1
 
* GStreamer 1.14.1
 
* V4L2 media controller support
 
* V4L2 media controller support
* [https://developer.nvidia.com/nsight-systems NVIDIA Nsight Systems] 2019.4
+
* [https://developer.nvidia.com/nsight-systems NVIDIA Nsight Systems]
* [https://developer.nvidia.com/nsight-graphics NVIDIA Nsight Graphics] 2019.2
+
* [https://developer.nvidia.com/nsight-graphics NVIDIA Nsight Graphics]
* [https://developer.nvidia.com/nsight-compute NVIDIA Nsight Compute] 1.0
+
* [https://developer.nvidia.com/nsight-compute NVIDIA Nsight Compute]
 
</div>
 
</div>
  
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<br />
 
<br />
 
<br />
 
<br />
 
= Embedded Vision Developer Kits =
 
 
The following is a list of complete bundles that are based on and include the [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit] and include a compatible camera module as well as all drivers and system software to start developing Computer Vision projects out of the box.
 
 
=== [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk/ Basler Embedded Vision Development Kit for Jetson Nano] ===
 
This Embedded Vision Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM.
 
 
==== What's included ====
 
* Camera Model: [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-s-mount/ daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps]
 
* Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 
* Board: [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]
 
* Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 
* Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 
* Power Supply: 5V / 4A, barrel jack
 
* Software: microSD card with pre-installed system including all drivers
 
 
==== Availability ====
 
Commercially available from distributors worldwide and from [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk/ Basler].
 
 
=== [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk-aia/ Basler AI Vision Solution Kit for Jetson Nano] ===
 
The AI Vision Solution Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM. It comes with the full software infrastructure for AI application development, a connection to the AWS cloud and sample programs to demonstrate AI applications that can be used as a basis to develop own AI software.
 
 
==== What's included ====
 
* Camera Model: [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-s-mount/ daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps]
 
* Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 
* Board: [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]
 
* Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 
* Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 
* Power Supply: 5V / 4A, barrel jack
 
* Software: microSD card with pre-installed system including all drivers and software environment for AWS cloud connection and AI application development
 
 
==== Availability ====
 
Commercially available from distributors worldwide and from [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk-aia/ Basler].
 
  
 
= Ecosystem Products and Sensors =
 
= Ecosystem Products and Sensors =
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The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.
 
The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.
  
==== Cameras ====
+
=== Cameras ===
 +
''These cameras are plug-and-play with driver support already included in JetPack-L4T:''
 +
* Logitech [https://www.logitech.com/en-us/product/hd-webcam-c270 C270] (USB webcam)
 +
* Logitech [https://www.amazon.com/Logitech-Widescreen-Calling-Recording-Desktop/dp/B006JH8T3S C920] (USB webcam)
 +
* Other V4L2-compliant USB webcams
 +
* Leopard Imaging [https://leopardimaging.com/product/li-imx219-mipi-ff-nano/ LI-IMX219-MIPI-FF-NANO] (IMX219 sensor)
 +
* Raspberry Pi [https://www.raspberrypi.org/products/camera-module-v2/ Camera v2] (IMX219 sensor)
 +
* Waveshare [https://www.waveshare.com/catalogsearch/result/?q=IMX219 Nano cameras] (IMX219 sensor)
 +
 
 +
''These ecosystem cameras may require additional drivers to be installed from the vendor:''
 
* Allied Vision MIPI CSI-2 (one open-source CSI-2 driver for all cameras on [https://github.com/alliedvision/linux_nvidia_jetson Github.com])
 
* Allied Vision MIPI CSI-2 (one open-source CSI-2 driver for all cameras on [https://github.com/alliedvision/linux_nvidia_jetson Github.com])
 
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1500%20C-050.html Alvium 1500 C-050] 0.5MP PYTHON 480
 
** [https://www.alliedvision.com/en/products/embedded-vision-cameras/detail/Alvium/1500%20C-050.html Alvium 1500 C-050] 0.5MP PYTHON 480
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* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-nano-cameras/3mp-mipi-camera.asp e-CAM30_CUNANO] (3.4 MP MIPI Camera)
 
* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-nano-cameras/3mp-mipi-camera.asp e-CAM30_CUNANO] (3.4 MP MIPI Camera)
 
* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-agx-xavier-cameras/stereo-camera.asp STEEReoCAM™] (2.0 MP MIPI Stereo Camera)
 
* e-con Systems [https://www.e-consystems.com/nvidia-cameras/jetson-agx-xavier-cameras/stereo-camera.asp STEEReoCAM™] (2.0 MP MIPI Stereo Camera)
* Logitech [https://www.logitech.com/en-us/product/hd-webcam-c270 C270] (USB webcam)
 
* Logitech [https://www.amazon.com/Logitech-Widescreen-Calling-Recording-Desktop/dp/B006JH8T3S C920] (USB webcam)
 
* Leopard Imaging [https://leopardimaging.com/product/li-imx219-mipi-ff-nano/ LI-IMX219-MIPI-FF-NANO] (IMX219 sensor)
 
* Raspberry Pi [https://www.raspberrypi.org/products/camera-module-v2/ Camera v2] (IMX219 sensor)
 
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdb04 AP-IMX179-MIPIx1] (IMX179 sensor)
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdb04 AP-IMX179-MIPIx1] (IMX179 sensor)
 +
* Stereolabs [https://www.stereolabs.com/ ZED] (stereo camera)
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdc04 AP-IMX290-MIPIx1] (IMX290 sensor)
 
* Appro [http://www.appropho.com/products_ii_en.html?id=187&type=36#pdc04 AP-IMX290-MIPIx1] (IMX290 sensor)
* Stereolabs [https://www.stereolabs.com/ ZED] (stereo camera)
 
  
==== Carriers ====
+
=== Carriers ===
 
* Antmicro [https://antmicro.com/blog/2020/04/updated-jetson-nano-xavier-nx-baseboard-m2/ Open Baseboard] (module carrier)
 
* Antmicro [https://antmicro.com/blog/2020/04/updated-jetson-nano-xavier-nx-baseboard-m2/ Open Baseboard] (module carrier)
 
* Auvidea [https://auvidea.eu/product/70780/ JN30] (module carrier)
 
* Auvidea [https://auvidea.eu/product/70780/ JN30] (module carrier)
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* SmartCow [https://smartcow.ai/en/products/pluto/ Pluto] (module carrier)
 
* SmartCow [https://smartcow.ai/en/products/pluto/ Pluto] (module carrier)
  
==== Enclosures ====
+
=== Enclosures ===
 
3D Printable
 
3D Printable
 
* ConnectTech [http://connecttech.com/products/nvidia-jetson-nano/ Nano-Pac]
 
* ConnectTech [http://connecttech.com/products/nvidia-jetson-nano/ Nano-Pac]
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* RapidProto [https://www.hazcam.io/collections/hazcam-products Hazcam]
 
* RapidProto [https://www.hazcam.io/collections/hazcam-products Hazcam]
  
==== Power Supplies ====
+
=== Power Supplies ===
See the [[Jetson_Nano#What_You_Will_Need|Power Supply]] section and this [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ forum post] for more information about selecting proper power adapters.
+
 
 +
==== Jetson Nano Developer Kit ====
 +
 
 +
See the [https://developer.nvidia.com/embedded/dlc/jetson-nano-scl Jetson Nano Supported Component List] and this [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ forum post] for more information about selecting proper power adapters for the original Jetson Nano 4GB.
  
 +
''Recommended Micro-USB Power Supplies''
 
* Adafruit [https://www.adafruit.com/product/1995 GEO151UB] (5V⎓2.5A MicroUSB adapter)
 
* Adafruit [https://www.adafruit.com/product/1995 GEO151UB] (5V⎓2.5A MicroUSB adapter)
* Adafruit [https://www.adafruit.com/product/1466 GEO241DA-0540] (5V⎓4A DC barrel jack adapter)
 
* Geekworm [https://www.amazon.com/dp/B07413Q5Y4 5V⎓4A DC barrel jack adapter]
 
 
* GeekPi [https://www.amazon.com/dp/B07CYZ9GZZ ABT025050] (5V⎓2.5A MicroUSB Adapter with ON/OFF Switch)
 
* GeekPi [https://www.amazon.com/dp/B07CYZ9GZZ ABT025050] (5V⎓2.5A MicroUSB Adapter with ON/OFF Switch)
 
* Pwr+ [https://www.amazon.com/dp/B00L88M8TE PWR-TA05035N] (5V⎓3.5A MicroUSB AC Adapter)
 
* Pwr+ [https://www.amazon.com/dp/B00L88M8TE PWR-TA05035N] (5V⎓3.5A MicroUSB AC Adapter)
 
* Raspberry Pi [https://www.raspberrypi.org/products/raspberry-pi-universal-power-supply/ DSA-13PFC-05 FCA 051250] (5.1V⎓2.5A Universal MicroUSB Power Supply)
 
* Raspberry Pi [https://www.raspberrypi.org/products/raspberry-pi-universal-power-supply/ DSA-13PFC-05 FCA 051250] (5.1V⎓2.5A Universal MicroUSB Power Supply)
  
==== UPS ====
+
''Recommended DC Barrel Jack Power Supplies''
 +
* Geekworm [https://www.amazon.com/dp/B07413Q5Y4 TB-458603] (5V⎓4A DC barrel jack adapter)
 +
* Adafruit [https://www.adafruit.com/product/1466 GEO241DA-0540] (5V⎓4A DC barrel jack adapter)
 +
* Sparkfun [https://www.sparkfun.com/products/14932 GST60A05] (5V⎓6A DC barrel jack adapter)
 +
 
 +
==== Jetson Nano 2GB Developer Kit ====
 +
 
 +
See the [https://developer.nvidia.com/embedded/learn/jetson-nano-2gb-devkit-user-guide#id-.JetsonNano2GBDeveloperKitUserGuidevbatuu_v1.0-SupportedComponentList Jetson Nano 2GB Supported Component List] for more information about selecting a 5V⎓3A USB-C adapter for the Jetson Nano 2GB.
 +
 
 +
* [https://www.raspberrypi.org/products/type-c-power-supply/ Raspberry Pi 4 Power Supply USB-C] (5.1V⎓3A)
 +
* [https://www.amazon.com/LABISTS-Raspberry-Supply-Charger-Adapter/dp/B07WC2HLJ9/ref=sr_1_6?dchild=1&keywords=USb+C+power+supplies&qid=1595554981&sr=8-6 LABISTS Power Supply USB-C with On/Off Switch] (5.1V⎓3A)
 +
* [https://www.amazon.com/CanaKit-Raspberry-Power-Supply-USB-C/dp/B07TYQRXTK/ref=sr_1_8?dchild=1&keywords=18W+power+supply+usb+c&qid=1595554849&sr=8-8 CanaKit Power Supply (USB-C)] (5.1V⎓3.5A)
 +
* [https://www.amazon.com/UGREEN-Charger-Delivery-iPhone-Samsung/dp/B07R7K2QMW/ref=sr_1_8?dchild=1&keywords=ugreen+usbc+power&qid=1600319683&s=electronics&sr=1-8 UGREEN USB C Charger] (5V⎓3A)
 +
 
 +
=== UPS ===
 
* T200 [https://www.amazon.com/dp/B07VNST1F8 Geekworm 18650 UPS (5.1V/8A Output) & Power Mgnt Board Shield] or [https://geekworm.com/products/nvidia-jetson-nano18650-ups-power-management-expansion-board-t200]
 
* T200 [https://www.amazon.com/dp/B07VNST1F8 Geekworm 18650 UPS (5.1V/8A Output) & Power Mgnt Board Shield] or [https://geekworm.com/products/nvidia-jetson-nano18650-ups-power-management-expansion-board-t200]
 
* T208 [https://www.amazon.com/dp/B08FT2287Q Geekwrom 6-Cell 18650 UPS (Max 5.1V 8A Output) & Power Mgnt Board with AC Power Loss Dectection & Safe Shutdown] or [https://geekworm.com/products/t208-18650-ups-max-5-1v-8a-output-power-management-expansion-board-for-nvidia-jetson-nano]
 
* T208 [https://www.amazon.com/dp/B08FT2287Q Geekwrom 6-Cell 18650 UPS (Max 5.1V 8A Output) & Power Mgnt Board with AC Power Loss Dectection & Safe Shutdown] or [https://geekworm.com/products/t208-18650-ups-max-5-1v-8a-output-power-management-expansion-board-for-nvidia-jetson-nano]
  
==== Battery Packs ====
+
=== Battery Packs ===
  
 
* INUI [https://www.amazon.com/gp/product/B07H6LB4J4 10000mAh] (dual 5V⎓3A Micro-USB)
 
* INUI [https://www.amazon.com/gp/product/B07H6LB4J4 10000mAh] (dual 5V⎓3A Micro-USB)
 
* Krisdonia [https://www.amazon.com/dp/B076GYGR6M 25000mAh] (5V⎓3A Micro-USB / DC barrel jack)
 
* Krisdonia [https://www.amazon.com/dp/B076GYGR6M 25000mAh] (5V⎓3A Micro-USB / DC barrel jack)
  
==== Wireless ====
+
=== Wireless ===
 
* Edimax [https://www.edimax.com/edimax/merchandise/merchandise_detail/data/edimax/in/wireless_adapters_n150/ew-7811un/ EW-7811Un] (USB Wi-Fi wireless dongle)
 
* Edimax [https://www.edimax.com/edimax/merchandise/merchandise_detail/data/edimax/in/wireless_adapters_n150/ew-7811un/ EW-7811Un] (USB Wi-Fi wireless dongle)
 
* Intel [https://www.newegg.com/Product/Product.aspx?Item=9SIAH718PH3221 8265NGW] (M.2 Key-E Wi-Fi/BT wireless card)
 
* Intel [https://www.newegg.com/Product/Product.aspx?Item=9SIAH718PH3221 8265NGW] (M.2 Key-E Wi-Fi/BT wireless card)
 
* Geekworm [https://geekworm.com/products/geekworm-nvidia-jetson-nano-dual-band-wireless-usb-3-0-adapter-5ghz-2-4ghz-1200m Dual Band Wireless USB 3.0 Wi-Fi Adapter] (USB3 Wi-Fi dongle and SMA antenna)
 
* Geekworm [https://geekworm.com/products/geekworm-nvidia-jetson-nano-dual-band-wireless-usb-3-0-adapter-5ghz-2-4ghz-1200m Dual Band Wireless USB 3.0 Wi-Fi Adapter] (USB3 Wi-Fi dongle and SMA antenna)
  
==== Storage ====
+
=== Storage ===
 
* Geekworm [https://www.amazon.com/dp/B07T9FQ293 T300 SATA SSD/HDD Shield] (USB3 SATA shield)
 
* Geekworm [https://www.amazon.com/dp/B07T9FQ293 T300 SATA SSD/HDD Shield] (USB3 SATA shield)
 
* Geekworm [https://www.amazon.com/dp/B088N6VZL8 T130 mSata SSD Shield] (USB3 SATA shield)
 
* Geekworm [https://www.amazon.com/dp/B088N6VZL8 T130 mSata SSD Shield] (USB3 SATA shield)
  
==== Other ====
+
=== Other ===
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi.html Grove Base Hat for Raspberry Pi] (support Jetson Nano)
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi.html Grove Base Hat for Raspberry Pi] (support Jetson Nano)
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi-Zero-p-3187.html Grove Base Hat for Raspberry Pi Zero] (support Jetson Nano)
 
* [https://www.seeedstudio.com/Grove-Base-Hat-for-Raspberry-Pi-Zero-p-3187.html Grove Base Hat for Raspberry Pi Zero] (support Jetson Nano)
Line 298: Line 310:
  
 
See the Jetson Nano '''[https://developer.nvidia.com/embedded/dlc/jetson-nano-supported-components-list Supported Components List]''' for devices that have been qualified by NVIDIA to work with Jetson Nano.
 
See the Jetson Nano '''[https://developer.nvidia.com/embedded/dlc/jetson-nano-supported-components-list Supported Components List]''' for devices that have been qualified by NVIDIA to work with Jetson Nano.
 +
 +
=== Embedded Vision Developer Kits ===
 +
 +
The following is a list of complete bundles that are based on and include the [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit] combined with a compatible camera module as well as all drivers and system software to start developing Computer Vision projects out of the box.
 +
 +
==== [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk/ Basler Embedded Vision Development Kit for Jetson Nano] ====
 +
This Embedded Vision Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM.
 +
 +
[[File:NVIDIA Kit 1380x735px.jpg|450px|right]]
 +
==== What's included ====
 +
* Camera Model: [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-s-mount/ daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps]
 +
* Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 +
* Board: [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]
 +
* Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 +
* Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 +
* Power Supply: 5V / 4A, barrel jack
 +
* Software: microSD card with pre-installed system including all drivers
 +
 +
==== Availability ====
 +
Commercially available from distributors worldwide and from [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk/ Basler].
 +
 +
==== [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk-aia/ Basler AI Vision Solution Kit for Jetson Nano] ====
 +
The AI Vision Solution Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM. It comes with the full software infrastructure for AI application development, a connection to the AWS cloud and sample programs to demonstrate AI applications that can be used as a basis to develop own AI software.
 +
 +
[[File:AI_Vision_Solution_Kit_1380x735px.jpg|450px|right]]
 +
==== What's included ====
 +
* Camera Model: [https://www.baslerweb.com/en/products/cameras/area-scan-cameras/dart/daa4200-30mci-s-mount/ daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps]
 +
* Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 +
* Board: [https://developer.nvidia.com/embedded/buy/jetson-nano-devkit Jetson Nano Developer Kit]
 +
* Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 +
* Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 +
* Power Supply: 5V / 4A, barrel jack
 +
* Software: microSD card with pre-installed system including all drivers and software environment for AWS cloud connection and AI application development
 +
 +
==== Availability ====
 +
Commercially available from distributors worldwide and from [https://www.baslerweb.com/en/embedded-vision/embedded-vision-portfolio/embedded-vision-kits/daa4200-30mci-jnano-nvdk-aia/ Basler].
  
 
= Getting Help =  
 
= Getting Help =  

Revision as of 11:08, 20 October 2020

NVIDIA Jetson Nano is an embedded system-on-module (SoM) and developer kit from the NVIDIA Jetson family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O. There is also the Jetson Nano 2GB Developer Kit with 2GB memory and the same processing specs.

Useful for deploying computer vision and deep learning, Jetson Nano runs Linux and provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption.

Jetson Nano is currently available as the Jetson Nano Developer Kit for $99, the Jetson Nano 2GB Developer Kit for $59, and the production compute module. See the wiki of the other Jetson's here.

  Technical BlogIntroducing the Ultimate Starter AI Computer, the NVIDIA Jetson Nano 2GB Developer Kit


Jetson Nano Developer Kit and compute module
Jetson Nano 2GB Developer Kit

Jetson Nano Developer Kit

The Jetson Nano Developer Kit is an easy way to get started using Jetson Nano, including the module, carrier board, and software. It costs $99 and is available from distributors worldwide.

Jetson Nano Developer Kit
Jetson Nano 2GB Developer Kit

There is also the Jetson Nano 2GB Developer Kit available for $59, which has 2GB memory and the same 472-GFLOPS processing performance.

What's Included

  • 80x100mm Reference Carrier Board
  • Jetson Nano Module with passive heatsink
  • Pop-Up Stand
  • Getting Started Guide

(the complete devkit with module and heatsink weighs 138 grams)

What You Will Need

Ports & Interfaces

Jetson Nano Developer Kit Jetson Nano 2GB Developer Kit
USB (4x) USB 3.0 Type-A, USB 2.0 Micro-B (1x) USB 3.0 Type-A, (2x) USB 2.0 Type-A, USB 2.0 Micro-B
Camera (2x) MIPI CSI-2 x2 (15-position Camera Flex Connector) (1x) MIPI CSI-2 x2 (15-position Camera Flex Connector)
Display HDMI 2.0, DisplayPort HDMI 2.0
Wireless M.2 Key-E (PCIe x1) 802.11ac USB dongle*
Ethernet Gigabit Ethernet (RJ45)
Storage MicroSD card slot
Other 40-pin Header - (3x) I2C, (2x) SPI, UART, I2S, GPIOs
Power Micro-USB (5V⎓2.5A) or DC barrel jack (5V⎓4A) USB-C (5V⎓3A)

* Not initially available in all regions

Getting Started

Availability

The Nano devkit and commercial module are available from distributors worldwide. Visit the Region Selector webpage to find ordering information in your area.

Software Support

See the Jetson Zoo for more software packages to install on top of JetPack.

Guides and Tutorials

This section contains recipes for following along on Jetson Nano.

System Tools

Deep Learning

See the Jetson Zoo for more resources on deploying AI and deep learning.

Robotics

Multimedia

V4L2 drivers for cameras

Design FAQs

There are some useful FAQs for Jetson Nano design, link is here.

Ecosystem Products and Sensors

The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.

Cameras

These cameras are plug-and-play with driver support already included in JetPack-L4T:

These ecosystem cameras may require additional drivers to be installed from the vendor:

Carriers

Enclosures

3D Printable

Metal

Metal (Fanless)

Power Supplies

Jetson Nano Developer Kit

See the Jetson Nano Supported Component List and this forum post for more information about selecting proper power adapters for the original Jetson Nano 4GB.

Recommended Micro-USB Power Supplies

Recommended DC Barrel Jack Power Supplies

  • Geekworm TB-458603 (5V⎓4A DC barrel jack adapter)
  • Adafruit GEO241DA-0540 (5V⎓4A DC barrel jack adapter)
  • Sparkfun GST60A05 (5V⎓6A DC barrel jack adapter)

Jetson Nano 2GB Developer Kit

See the Jetson Nano 2GB Supported Component List for more information about selecting a 5V⎓3A USB-C adapter for the Jetson Nano 2GB.

UPS

Battery Packs

  • INUI 10000mAh (dual 5V⎓3A Micro-USB)
  • Krisdonia 25000mAh (5V⎓3A Micro-USB / DC barrel jack)

Wireless

Storage

Other

See the Jetson Nano Supported Components List for devices that have been qualified by NVIDIA to work with Jetson Nano.

Embedded Vision Developer Kits

The following is a list of complete bundles that are based on and include the Jetson Nano Developer Kit combined with a compatible camera module as well as all drivers and system software to start developing Computer Vision projects out of the box.

Basler Embedded Vision Development Kit for Jetson Nano

This Embedded Vision Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM.

NVIDIA Kit 1380x735px.jpg

What's included

  • Camera Model: daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps
  • Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
  • Board: Jetson Nano Developer Kit
  • Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
  • Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
  • Power Supply: 5V / 4A, barrel jack
  • Software: microSD card with pre-installed system including all drivers

Availability

Commercially available from distributors worldwide and from Basler.

Basler AI Vision Solution Kit for Jetson Nano

The AI Vision Solution Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM. It comes with the full software infrastructure for AI application development, a connection to the AWS cloud and sample programs to demonstrate AI applications that can be used as a basis to develop own AI software.

AI Vision Solution Kit 1380x735px.jpg

What's included

  • Camera Model: daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps
  • Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
  • Board: Jetson Nano Developer Kit
  • Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
  • Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
  • Power Supply: 5V / 4A, barrel jack
  • Software: microSD card with pre-installed system including all drivers and software environment for AWS cloud connection and AI application development

Availability

Commercially available from distributors worldwide and from Basler.

Getting Help

If you have a technical question or bug report, please visit the Jetson Nano Developer Forum and search or start a new topic.

See the official Support page on Embedded Developer Zone for warranty and RMA information.

For NVIDIA webstore Customer Service, please see the My Account page or contact 1-800-797-6530.