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NVIDIA Jetson Nano Developer Kit-B01

SKU
102110417

NVIDIA® Jetson Nano™ Developer Kit is out of stock. We recommend reComputer J1010 and J1020 as alternatives, built with Jetson module, heatsink, enclosure and the carrier boards that are the same physical dimensions as the NVIDIA Jetson developer kit.

reComputer J1020 powered by Jetson Nano

PRODUCT DETAILS

Time to bring AI power to the edge! It can be robotics, drone, video analytics, traffic management with the vehicle and people detection, retail automatic check-out machine, or terminologies like image classification, object detection, segmentation, and speech processing you must have heard about! Learn more about what is and why edge AI in this blog.

NVIDIA® Jetson Nano™ Developer Kit brings the modern AI to makers, learners, and all embedded developers within compact size and powerful processing that lets you run multiple neural networks in parallel.

NVIDIA® Jetson Nano™ Developer Kit is out of stock.

Alternative choice

reComputer J1010 and J1020, built with Jetson module(5-10 year operating life in a production environment) and the carrier boards that are the same physical dimensions as the NVIDIA Jetson developer kit. If you are also looking for Jetson Xavier NX module-powered edge device, please jump to reComputer J2021!

  • reComputer J1010's carrier board is J101, comes with microSD card slot, 1xUSB 3.0, 2xUSB 2.0, 2x Type C, 2 x CSI camera interfaces and also keeps Jetson Nano developer kit's Gigabit Ethernet, M.2 Key E, HDMI, GPIO, I2C, I2S, SPI, UART!
  • Looking for more USB 3 ports? reComputer J1020 takes 4x USB3, and the carrier board of A206 also comes with M.2 Key M for attaching SSD instead of microSD card slot if you need more storage than 16GB eMMC offered by the production module.

Compare NVIDIA Jetson Nano Dev Kit B01 with reComputer J10 series 

Product

reComputer J1010

reComputer J1020

NVIDIA Jetson Nano Developer Kit-B01

Module

Jetson Nano 4GB (production)

Nano (not production)

Storage

onboard MicroSD slot

16 GB eMMC

MicroSD slot(on the module)

Video Encoder

4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 

(H.265 & H.264)

4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)

Video Decoder

4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 

(H.265 & H.264)

4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)

Gigabit Ethernet

1*RJ45 Gigabit Ethernet Connector (10/100/1000)

USB

1 * USB 3.0 Type A; 

2 * USB 2.0 Type A;

1 * USB Type C for device mode;

1 * USB Type C for 5V power input



4 * USB 3.0 Type-A ;

1 * Micro-USB port for device mode;

4 * USB 3.0 Type-A; 

1 * Micro-USB port for 5V power input  or for device mode

CSI Camera Connect

2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )

Display

1*HDMI Type A

1*HDMI Type A; 

1*DP

1*HDMI Type A; 

1*DP

FAN

1* FAN (5V PWM)

M.2 KEY E

1*M.2 Key E

1*M.2 Key E (Disabled)

1*M.2 Key E

M.2 KEY M

-

1*M.2 Key M

-

RTC

1*RTC Socket

-

Multifunctional port

1* 40-Pin header

Power

USB-Type C 5V⎓3A;

DC Jack 12V/2A

DC Jack 5V⎓4A;

Micro-USB 5V⎓2A

Mechanical

130 mm x 120 mm x 50 mm (with case)

130mm x120mm x 50mm (with case)

100 mm x 80 mm x 29 mm

Get started with Jetson Nano and build your first AI project

AI is not hard anymore to get started. Just insert a microSD card with the system image, boot the developer kit, and begin using the same NVIDIA JetPack SDK used across the entire NVIDIA Jetson platform. JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software, reducing complexity and effort for developers.

Want to take your next project to the next level with AI? How long time from unknown about AI to building AI? Two days are enough! NVIDIA prepared this deep learning tutorial of Hello AI World and Two Days to a Demo.

Besides grabbing Jetson Nano Dev Kit or reComputer J1010/J1020, you might need to connect with cameras, off-the-shelf Grove sensors, or controlling actuators with GPIO. 

From 0.1 to ∞, unlock more AI possibilities!

Bring AI to market easier with these tools:

  • Edge AI no code Vision tool, Seeed latest open-source project for deploying AI application within 3 nodes. 

  • NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.

  • NVIDIA TAO tool kit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training 

  • alwaysAI: build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our wiki guide to get started with alwaysAI.

  • Edge Impulse: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud. 

  • Roboflow provides end-to-end computer vision experience from datasets to deployment. Roboflow Universe provides 90,000+ datasets with 66+ million images available for building computer vision models.

  • YOLOv5 by Ultralytics: use transfer learning to realize 21 FPS at the edge with YOLOv5 and fewer datasets. Have a look our step-by-step wiki tutorials.

  • Deci: optimize your models' performance.  Check webinar at Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices

Remote Fleet Management

Enable secure OTA and remote device management with Allxon. Unlock 90 days free trial with code H4U-NMW-CPK.

Robot and ROS Development 

  • The NVIDIA® Isaac ROS is a collection of hardware accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware.

  • Cogniteam Nimbus is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box.  Check out our webinar on Connect your ROS Project to the Cloud with Nimbus.

No matter whether you want to build up your first AI project or working on AI development and looking for a reliable hardware choice for mass production, Seeed's Jetson powered products will help you from edge AI 0.1 to ∞.

For ISV and solution integrator enterprises, welcome checkout our free Edge AI Partner Program to deliver AI solutions together with Seeed's licensing, customization and manufacturing service. 

ECCN/HTS

HSCODE 8543709990
USHSCODE 8471490000
UPC

LEARN AND DOCUMENTS

Learn

Is your NVIDIA Jetson Nano too hot and overheating? With so much power, you definitely do not want your Jetson Nano to start thermal throttling cause it is too hot and cause its performance to degrade. No worries, as we have some cooling solutions just for you.
MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all AI computation performed at the edge. MaskCam detects and tracks people in its field of view and determines whether they are wearing a mask via an object detection, tracking, and voting algorithm.
You can securely manage NVIDIA® JetPack 4.6 onward versions with Cyber Security at the Edge protecting all networks and hardware. Here are some operations about installing, getting code, adding devices etc.
Seeed is glad to partner with Allxon to deliver a secure remote management solution for Jetson Platform. At Seeed, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and kits, as well as third-party boards and accessories.

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