Description
OKdo Nano C100 Developer Kit powered by NVIDIA® Jetson Nano Module
The OKdo Nano C100 Developer Kit powered by NVIDIA delivers the compute performance to run modern AI workloads at extraordinary power, size, and cost. Developers, makers, and learners can now run AI frameworks and models for applications like object detection, segmentation, classification, and speech processing. The OKdo Nano C100 Developer Kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. Making it simple for developers to enable a variety of AI applications by connecting a diverse set of new sensors. Built with power-efficiency in mind, consuming as little as 5 watts.
This Nano C100 is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for computer vision, deep learning, , GPU computing, multimedia processing, and more. The software is available using an easy-to-flash SD card image, ensuring it’s easy to get started. The entire NVIDIA Jetson family of products utilise the same JetPack SDK, as such it is fully compatible with NVIDIA’s market-leading AI platform for training and deploying AI software. This proven software stack reduces overall effort and complexity for developers.
Key Features of the OKdo Nano C100 Developer Kit
Jetson Nano Module
128-core NVIDIA Maxwell GPU
Quad-core ARM A57 CPU
4 GB 64-bit LPDDR4
10/100/1000BASE-T Ethernet
Power Options
Micro-USB 5V 2A
DC power adapter 5V 4A
Extensive I/Os
USB 3.0 Type A
USB 2.0 Micro-B
HDMI/DisplayPort
M.2 Key E
Gigabit Ethernet
GPIOs,I2C, I2S, SPI, UART
2x M IPI-CSI camera connector
Micro SD card
Fan connector
128-core NVIDIA Maxwell GPU
Quad-core ARM A57 CPU
4 GB 64-bit LPDDR4
10/100/1000BASE-T Ethernet
Power Options
Micro-USB 5V 2A
DC power adapter 5V 4A
Extensive I/Os
USB 3.0 Type A
USB 2.0 Micro-B
HDMI/DisplayPort
M.2 Key E
Gigabit Ethernet
GPIOs,I2C, I2S, SPI, UART
2x M IPI-CSI camera connector
Micro SD card
Fan connector
What’s included in the OKdo Nano C100 Developer Kit?
NVIDIA Jetson Nano module
Radxa Nano C100 carrier board
Quick Start Guide and Support Guide
Radxa Nano C100 carrier board
Quick Start Guide and Support Guide
Technical Specifications
GPU 128-core Maxwell
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s
Storage 16GB eMMC and 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, IC2, I 2 S, SPI, UART
Dimensions 100 mm x 80 mm x 29 m
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s
Storage 16GB eMMC and 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, IC2, I 2 S, SPI, UART
Dimensions 100 mm x 80 mm x 29 m