% $-369.99
Hiwonder
JETSON NANO B01 Board Developer Kit based on JETSON NANO 16GB EMMC Module
Product SKU: HW2019229
- Jetson Nano ALT version is based on NVIDIA Jetson Nano 4GB core module
- Functions of ALT version are the same as official Jetson Nano B01
- Jetson Nano ALT version is an ideal alternative to official Jetson Nano B01
- Various combinations for your different development needs
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Product Description
NVIDIA JETSON NANO is a small, powerful computer that lets you run multiple neural networks in parallel for applications like object detection, segmentation, and speech processing. Loaded with a quad-core CORTEX-A57 processor, 128-core MAXWELL GPU and 4GB LPDDR storage, it has powerful computing ability, provides 472GFLOP, and supports mainstream AI frameworks and algorithms, such as TENSORFLOW, PYTORCH, CAFFE/ CAFFE2, KERAS and MXNET.
NVIDIA JETSON NANO is a small, powerful computer that lets you run multiple neural networks in parallel for applications like object detection, segmentation, and speech processing. Loaded with a quad-core CORTEX-A57 processor, 128-core MAXWELL GPU and 4GB LPDDR storage, it has powerful computing ability, provides 472GFLOP, and supports mainstream AI frameworks and algorithms, such as TENSORFLOW, PYTORCH, CAFFE/ CAFFE2, KERAS and MXNET.
JETSON NANO Alternative Version
JETSON NANO Alternative Version (ALT Version) adopts official original NVIDIA JETSON NANO 4GB core module. This module comes with 16GB eMMC storage, which enables you to start the board quickly without using TF card. Its performance, onboard resources and interface layout all duplicate B01 official version. Stable, reliable and with high cost effective, ALT version is an excellent alternative to B01 official version.
JETSON NANO Alternative Version (ALT Version) adopts official original NVIDIA JETSON NANO 4GB core module. This module comes with 16GB eMMC storage, which enables you to start the board quickly without using TF card. Its performance, onboard resources and interface layout all duplicate B01 official version. Stable, reliable and with high cost effective, ALT version is an excellent alternative to B01 official version.
Product Parameter
Performance, onboard resources, size and interface layout of ALT version are consistent with official JETSON NANO B01. The only difference is that the ALT version comes with 16GB eMMC storage facilitating starting the board without TF card.
Performance, onboard resources, size and interface layout of ALT version are consistent with official JETSON NANO B01. The only difference is that the ALT version comes with 16GB eMMC storage facilitating starting the board without TF card.
Standard Storage
Standard Storage
4GB (B01 Official Version)
As there is no storage medium on the board, TF card is needed for writing the system to start the board. And the TF card is not included in the kit.
4GB (ALT Version)
JETSON NANO 4GB ALT version comes with 16GB eMMC, therefore the board can be booted up without a TF card. 16GB eMMC can satisfy your ordinary development needs and can accommodate official system image. If the storage is not adequate for complex projects, you can use U disk to expand.
Storage Expansion
Storage Expansion
4GB (B01 Official Version)
The official JETSON NANO B01 can only use TF card with large capacity to write the system as a system disk. The reading speed of TF card is 100MB/s, slightly lower than that of U disk.
4GB (ALT Version)
When the onboard storage of JETSON NANO 4GB ALT version is insufficient, you can employ U disk to expand the capacity, or write the system to it for starting the board. The reading speed of USB3.0 U disk is up to 130MB/s, higher than that of TF card.
JETSON NANO Kit Options
JETSON NANO Kit Options
Hello AI World!
Jetson Nano is able to run various advanced neural networks, such as TensorFlow, PyTorch, Caffe/ Caffe2, Keras, MXNet. Attributed to their forte of image recognition, object detection and positioning, segmentation, and intelligent analysis, they can be used to build autonomous robot and complicated AI system.
Jetson Nano is able to run various advanced neural networks, such as TensorFlow, PyTorch, Caffe/ Caffe2, Keras, MXNet. Attributed to their forte of image recognition, object detection and positioning, segmentation, and intelligent analysis, they can be used to build autonomous robot and complicated AI system.
Real-time Image Recognition
Human Tracking
Data Segmentation Statistics
AI Robotic Car
AI “Brain”--Neural Network
Jetson Nano applies real-time computer vision and inference to complex deep neural network (DNN) models. Thanks to it, autonomous robot with multiple sensors, IoT device with intelligent edge and advanced AI system become possible.
Multi-video Analysis
Jetson Nano can simultaneously process up to 8 HD full-motion videos, and deploy low-power edge intelligent video analysis platform for network video recorder (Nvr), intelligent camera and IoT gateway.
Neural Network-SDK, AI Computing
Jetson Development Pack (JetPack) is a comprehensive software pack which includes and installs all the development tools applicable to NVIDIA Jetson embedded platform. The tools displayed in the picture are included in JetPack.
Support System Image
Complete Linux desktop environment is provided for Jetson Nano based on Ubuntu18.04. It involves accelerated graphics, and supports NVIDIA CUDA Toollkit10.0, CUDNN7.3 as well as TensorRT library.
AI “Brain”--Neural Network
Jetson Nano applies real-time computer vision and inference to complex deep neural network (DNN) models. Thanks to it, autonomous robot with multiple sensors, IoT device with intelligent edge and advanced AI system become possible.
Multi-video Analysis
Jetson Nano can simultaneously process up to 8 HD full-motion videos, and deploy low-power edge intelligent video analysis platform for network video recorder (Nvr), intelligent camera and IoT gateway.
Neural Network-SDK, AI Computing
Jetson Development Pack (JetPack) is a comprehensive software pack which includes and installs all the development tools applicable to NVIDIA Jetson embedded platform. The tools displayed in the picture are included in JetPack.
Support System Image
Complete Linux desktop environment is provided for Jetson Nano based on Ubuntu18.04. It involves accelerated graphics, and supports NVIDIA CUDA Toollkit10.0, CUDNN7.3 as well as TensorRT library.
Powering Jetson Nano
The micro USB interface of Jetson Nano only supports 2A current. And DC power supply is recommended, which not only can satisfy most application scenes of Jetson Nano, but also drive the camera, screen and USB devices.
The micro USB interface of Jetson Nano only supports 2A current. And DC power supply is recommended, which not only can satisfy most application scenes of Jetson Nano, but also drive the camera, screen and USB devices.
Ports and Interfaces Layout
Difference between Development Boards
| Product | Parameter |
| Jetson Nano 4GB (B01 official version/ ALT version) | |
| CPU: Quad-core ARM A57@1.43GHz | |
| GPU: 128-core Maxwell | |
| Al computing power: 473GFL OPS | |
| Memory: 4 GB 64-bit LPDDR4 25.6 GB/s | |
| Storage: B01 official: MicroSD (not included) ALT version: 16GB eMMC |
|
| Video encode: 4K@30 |4x1080p@30 | 9x720p@30(H.264/H.265) | |
| Video decode: 4K@60 | 2x4K@30 | 8x1080p@30 | 18x720p@30(H.264/H.265) | |
| Camera interface: Two MIPI CSI-2 DPHY lanes | |
| Connectivity: Gigabit Ethernet, M.2 Key E | |
| Display: HDMI and display port (DP) | |
| USB:Four USB 3.0, USB 2.0 Micro-B | |
| Network: Support USB high-speed network card and M.2 dual-band high-speed network card | |
| Others: GPIO, I2C, I2S, SPI, UART | |
| Size: 100x80x29mm | |