We provide SD card function on reComputer J101 carrier board, which supports CLK Frequency 48MHz. The CLK here is designed to achieve certificates (such as CE/FCC). If you want to increase CLK by yourself, you can use the instructions here.
The later reComputer J1010 carrier board version are all supported SD card function.
Working with NVIDIA Jetson Nano module, powered by NVIDIA Maxwell with 128 NVIDIA CUDA® cores, it's ready to bring the power of modern AI to everyone: makers, learners, and embedded developers.
With the NVIDIA Jetson Nano module assembled, it could support 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. With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.
Working with Jetson Nano module, reComputer J101 is ready to bring modern AI power to real-world applications such as image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials!
Find in the Jetson Community Resources page tools and tutorials the community has created to power your development experience, and check out the Community Projects page to inspire your next project!
Please also check out Seeed wiki guide including getting started with Jetson Nano and also building different projects.