NVIDIA Jetson Nano Development Kit-B01
Nano Jetson NVIDIA Developer Kit is a development kit Artificial Intelligence (AI) that can be used to run a variety of modern AI load with amazing performance. With the NVIDIA Developer Kit Nano Jetson now the developers can run the AI framework and a model for application of image recognition, object detection, segmentation, speech recognition and many more. Jetson NVIDIA Developer Kit Nano is powered by a micro USB and equipped with many I / O pins, ranging from GPIO to CSI. Pin I / O are plentiful this allows developers to connect various sensors for AI application development purposes. Nano Jetson NVIDIA Developer Kit is also supported by NVIDIA JetPack, which includes Board Support Package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT for the purposes of deep learning, computer vision, GPU computing,
NOTE: This kit is the latest version of NVIDIA Jetson Nano which has undergone several revisions of the terms of the arrangement of the components of the previous version (A02). The different versions of A02 and B01 can be seen in the image below.
Specification
- GPU: 128-core Maxwell
- CPU:Quad-core ARM A57 @ 1.43 GHz
- RAM: 4 GB 64-bit LPDDR4 25.6 GB/s
- External 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)
- Soket Kamera: 2x MIPI CSI-2 DPHY lanes
- Konektifitas: Gigabit Ethernet, M.2 Key E
- Display Output: HDMI 2.0 and eDP 1.4
- USB: 4x USB 3.0, USB 2.0 Micro-B
- Interface: GPIO, I2C, I2S, SPI, UART
- Dimension: 100 mm x 80 mm x 29 mm
Document
- NVIDIA JetPack SDK
- Development Kit User Guide
- Grove Python Libraries for Nvidia Jetson Nano
- NVIDIA Jetson™ family for products
- Setting up Jetson with JetPack
- Classifying Images with ImageNet
- Locating Objects with DetectNet
- Semantic Segmentation with SegNet
- Transfer Learning with PyTorch
equipment Products
NVIDIA Jetson Nano module and carrier board
Quick Start Guide and Support Guide