JETSON NANO SUB Developer Kit Excellent alternative to the B01 Official Demo

The Jetson Nano 4GB Developer Kit SUB version adopts the NVIDIA official original Jetson Nano 4GB core module. The module comes with 16GB eMMC storage, which can easily and quickly start the board without using a TF card. Its performance, carrier board resources, size, and interface layout are all consistent with the B01 Official Demo, stable and reliable.

The operating system has been written in the 16G EMMC of all motherboards in the product, and users can directly start and start using it. However, since the 16G storage space has been occupied by the operating system, users cannot install more software packages or Jetpack plug-ins. It also cannot be used directly with the U disk.

If the user needs to expand the memory, then you need to use a U disk. At this time, you need to re-write the boot file to the nano development board, which is used to guide the Jetson NANO motherboard to boot the system from the U disk. The motherboard must be started with the U disk. The U disk has enough storage space, and users can expand and install any software by themselves. package or Jetpack plugin.

The switch between these two situations requires the customer to install a virtual machine and burn the boot file by himself, which is a tedious process. Yahboom provides a program, but does not provide an installation tutorial. If you decide to use a U disk at first, when you choose "SUB Expansion Kit" or "SUB Advanced Package", you can contact the seller to help you burn the boot file before sending the package. The development board in the package is Can be used directly in conjunction with U disk.

Very important - read the details and understand the difference before choosing

4-channel USB 3.2 Gen 1 high-speed interface

Access to more external devices

JetsonNano can process up to 8 HD full-motion video streams in real-time and can be used as a low-power edge intelligent video analysis platform for network video recorders (Nvr), smart cameras and IOT gateways.

4K dual screen output

Support DisplayPort interface and HDMI high-definition interface

Support monocular/binocular vision camera

Supports 2-channel CSI camera or 1-channel binocular camera, which is very suitable for applications such as parallax algorithm ranging, face recognition, living body detection, recording VR vision, etc.

Al "Brain" -- Neural Network

Jetson Nano applies real-time computer vision and inference to a variety of complex deep neural network (DNN) models. These capabilities enable multi-sensor autonomous robots, IOT devices with intelligent edge analysis and advanced AI systems.

Common power supply methods

The power supply mode of the DEV-KIT-SUB version is the same as that of the B01 version

The micro USB interface of Jetson Nano only supports 2A current. DC power supply is recommended, which can meet most of the usage scenarios of Jetson Nano, and can also loads such as cameras, displays, and USB devices.

Support system image

Provides a complete desktop Linux environment for Jetson Nano based on Ubuntu 18.04, with accelerated graphics, support for N-VI-DIA CUDA Toolkit 10.0, and libraries such as cuDNN7.3 and TensorRT.

Very important - read the details and understand the difference before choosing

The video showcases the product in use.The video guides you through product setup.The video compares multiple products.The video shows the product being unpacked.

Jetson Development Board Kit and Compatible Robot Kit

Add to Cart

Add to Cart

Add to Cart

Add to Cart

Customer Reviews

3.8 out of 5 stars 15

—

—

3.7 out of 5 stars 11

5.0 out of 5 stars 2

4.0 out of 5 stars 10

3.8 out of 5 stars 42

Price

$239.00$239.00

—

—

—

$1,399.00$1,399.00

$999.00$999.00

$299.99$299.99

Computing power

0.5TFLOPS(FP16)

1.33TFLOPS (FP16)

14TOPS/21TOPS(INT8)

/

/

/

/

CPU

Quad core processor

Dual-core 64-bit CPU

6-core 64-bit CPU

/

/

/

/

GPU

128 cores

256 cores

384 cores

/

/

/

/

RAM

4GB 25.6GB / s

4GB 51.2GB / s

8GB 59.7GB / s

/

/

/

/

Storage

16GB EMMC

16GB EMMC and 128GB SSD

16GB EMMC and 128GB SSD

/

/

/

/

Yahboom

✔

✔

✔

✔

✔

✔

✔

The Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing.
The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts.
Jetson Nano is also supported by NVIDI-A JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy.
The same JetPack SDK is used across the entire NVIDIA Jetson product line and is fully compatible with N-VI-DIA's world-leading AI platform for training and deploying AI software. This proven software stack reduces developer complexity and overall effort.
【ROS advanced development materials updated】Provide ROS1 image processing, docker, ROS2 advanced courses,ROS2 visual processingand other content updates have been completed to help beginners learn ROS programming.