NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4
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NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4
- Brand: NVIDIA
- MPN: 102110417
- Part #: SBCNV0001
- UPC: 192876667897
What PB Tech customers are saying about this product...
See More Reviews"Fantastic entry level device for GPU usage. Wouldn't replace your PC with it but there is nothing else like it on the market. In terms of running YOLO on it like the previous revie ...view more"
"excellent development board for Ai work"
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NVIDIA SBC Jetson Nano Version: B01 Development Kit, Quad - Core ARM A57, 4GB 128 - Core NVIDIA Maxwell GPU, 64-Bit LPDDR4
- Brand: NVIDIA
- MPN: 102110417
- Part #: SBCNV0001
- UPC:192876667897
Product URL: https://www.pbtech.com/au/product/SBCNV0001/imglib/payoptions/imgad/aib/contact?pid=SBCNV0001
Features
NOTE: Recommended Micro-USB Power Supplies: Raspberry Pi 5.1V 2.5A Universal Power Supply with MicroUSB connector
NOTE: PLEASE READ Jetson Nano Developer Kit User Guide CAREFRULLY BEFORE TURN IT ON!
The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
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. It's incredibly power-efficient, consuming as little as 5 watts.
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.
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.
Pinout diagram for J41 expansion header on Jetson Nano developer kit
Specifications
Developer Kit Contents:
NVIDIA Jetson Nano module and carrier board
Small paper card with quick start and support information
Folded paper stand
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 Encode
4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decode
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 and display port
USB
4x USB 3.0, USB 2.0 Micro-B
Others
GPIO, I2C, I2S, SPI, UART
Mechanical
69 mm x 45 mm, 260-pin edge connector