Cue theme music..."Meet NVIDIA Jetson!" The latest addition the Jetson family, the 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. 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.
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.
If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code.
Skill Level: Experienced - You will require a firm understanding of programming, the programming toolchain, and may have to make decisions on programming software or language. You may need to decipher a proprietary or specialized communication protocol. A logic analyzer might be necessary.
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If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.
Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
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Based on 3 ratings:
1 of 2 found this helpful:
Lovely little machine, but these are very early days. Youâre going to have to dig through message boards and be willing to go through a lot of trial and error to add wifi or Bluetooth support. Expect a lot of âwell, it worked for meâ or âI have that problem tooâ dead end threads on those boards until thereâs a larger user base trying to do the same things youâre trying to do. The good news is theyâre largely sold out, which means there must be a lot of Nano users out there, so thereâll likely be better walk through for those of you who are new to Linux and itsâ¦ special way of installing functionality.
0 of 2 found this helpful:
This is a fast microcomputer. If you want something fast for video playback and overall computing without the footprint to work with your TV, this will do. The drawback is this will not support Win 10 OS if that is the system of choice. It is a Linux/Ubuntu machine.
If you're into robotics and/or multi video enhanced control/navigation, expect to hunt and peck NVIDIA for support material. You will be forever navigating here and there fighting fragmented support and wondering what they mean by "deep learning".