Product Images are shown for illustrative purposes only and may differ from the actual product.
RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD
INTRODUCTION
Enter the world of AI through this Jetson Nano Developer kit launched by NVIDIA, and enjoy the infinite joy that AI brings to you!
Jetson Nano Kit is a small, powerful computer that enables all makers, learners, and developers to run AI frameworks and models. Insert a microSD card with a system image into the module to boot the device. With the built-in system on chip (SOC), it is able to run multiple neural networks, such as TensorFlow, PyTorch, Cafffe/Caffe2, Keras, and MXNet, which can realize image classification, object detection, segmentation, and speech processing so as to help you to build up the advanced robot and complicated AI system.
Abundant Interface
Rich peripheral interfaces enable you to connect various sensors to establish AI-based applications.
High Performance
Jetson Nano adopts 64-bits ARM CPU,128 core NVIDIA GPU and 4 GB LPDDR4 storage and provides 0.5T FLOPS algorithms performance. It features high-efficiency, low power consumption, small size, and low cost.
Easy-to-use SDK
Jetson Nano is also supported by NVIDIA Jetpack, which includes a board support package（BSP）, Linux OS, NVIDIA CUSA ®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.
The same JetPack SDK is used across the entire NVIDIA Jetson ™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
Update Instruction A02 vs B01:
1. The old version A02 has only one camera interface J13, and the new version B01 has one additional camera interface J49;
2. J40 and J44 in the old version A02 are combined as J50 in the new version B01. The interface has been moved and changed from vertical to horizontal one.
3. The Jetson Nano expansion kit is composed of core board and a baseplate. The core board has no eMMC so the system should be burned into the TF card when installing the system. The modules NVIDIA supplies in bulk come with eMMC, but no TF card slot. The A02 expansion board is incompatible with Jetson Nano Module with eMMC, while the B01 is compatible with not only Jetson Nano Module with eMMC but also Jetson Xavier NX Module.
① MicroSD Card Slot
② 40pin GPIO Expansion Header
③ Micro-USB
④ Gigabit Ethernet
⑤ 4*USB3.0
⑥ HDMI Output
⑦ DisplayPort Connector
⑧ Power Jack DC 5V
⑨ 2*MIPI CSI Camera Connector
SPECIFICATION
- GPU: 128-core NVIDIA Maxwell™ GPU
- CPU: Quad-core ARM® A57 CPU
- Memory: 4 GB 64-bit LPDDR4
- Storage: 16GB eMMC 5.1 flash
- Video Encoder: 4K @30（H.264/H.265）
- Video Decoder: 4K @60（H.264/H.265）
- Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1（1.5Gbps）
- Connectivity: Gigabit Ethernet
- Display: HDMI 2.0 or DP1.2 |eDP 1.4| DSI (1x2)
- UPHY: 1x1/2/4 PCIE, 1xUSB3.0, 3xUSB2.0
- I/O: 1xSDIO/ 2xSPI /6xI2C /2xI2S /GPIO
- Dimension: 100 x 80 x 29 mm/3.94x3.15x1.14”
NVIDIA Jetson Nano Developer Kit delivers the performance to run modern AI workloads in a small form factor, power-efficient (consuming as little as 5 Watts), and low cost. Developers, learners, and makers can run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. RoboticsBD
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. We at SparkFun see this as more than enough potential to be yelling “Stop this crazy thing” to your friends & family!
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started. RoboticsBD
The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
To get started Click here!
Note: Jetson Nano developer kit is now updated with B01 carrier board. RoboticsBD
Jetson Nano developer kit is now updated with B01 carrier board that adds an extra MIPI CSI connector and other few changes, including compatibility with NVIDIA Jetson Nano production module (with eMMC flash instead of MicroSD card)
Other changes include the removal of the “button” and serial headers, and the power select header (J48) has been moved to the edge of the board. The new baseboard is also said to be compatible with the upcoming Jetson Xavier NX module, but according to a forum thread using an A02 module with a B01 carrier board will not work.
Features:
- 128-core NVIDIA Maxwell™ GPU
- Quad-core ARM® A57 CPU
- 4 GB 64-bit LPDDR4
- 10/100/1000BASE-T Ethernet
- Micro-USB 5V 2A
- DC power adapter 5V 4A
- USB 3.0 Type A
- USB 2.0 Micro-B
- HDMI/DisplayPort
- M.2 Key E
- Gigabit Ethernet
- GPIOs, I2C, I2S, SPI, UART
- MIPI-CSI camera connector
- Fan connector
- PoE connector
Specification:
- GPU: 128-core Maxwell
- CPU:Quad-core ARM A57 @ 1.43 GHz
- Memory: 4 GB 64-bit LPDDR4 25.6 GB/s
- Storage: microSD (not included)
- Video Encoder: 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
- Video Decoder: 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30|(H.264/H.265)
- Camera: 2x MIPI CSI-2 DPHY lanes
- Connectivity: Gigabit Ethernet, M.2 Key E
- Display: HDMI 2.0 and eDP 1.4
- USB: 4x USB 3.0, USB 2.0 Micro-B
- Others: GPIO, I2C, I2S, SPI, UART
- Mechanical: 100 mm x 80 mm x 29 mm
RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD
| General Specification |
| Supply Voltage | 5V 4A |
| GPU | 128-core Maxwell |
| CPU | Quad-core ARM A57 @ 1.43 GHz |
| Memory | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Video Encoder | 4K @ 30
4x 1080p @ 30
9x 720p @ 30 (H.264/H.265) |
| Video Decoder | 4K @ 60
2x 4K @ 30
8x 1080p @ 30
18x 720p @ 30
(H.264/H.265) |
| Camera | 2x MIPI CSI-2 DPHY lanes |
| Connectivity | Gigabit Ethernet, M.2 Key E |
| Display | HDMI 2.0 and eDP 1.4 |
| Length (mm) | 100 |
| Width (mm) | 80 |
| Height (mm) | 29 |
| Shipment Weight | 0.25 kg |
| Shipment Dimensions | 16 × 11 × 4 cm |
Please allow 5% measuring deviation due to manual measurement.
RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD
Documentation:
- seeedstudio Product Page
- THE LOW-COST AI COMPUTER FOR ALL
- User Guide
- GET STARTED WITH AI PROJECT
- NVIDIA JETPACK SDK
- GROVE PYTHON LIBRARIES FOR NVIDIA JETSON NANO
Package Includes:
1 x NVIDIA Jetson Nano module – B01 and carrier board.
RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD
RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD RoboticsBD
