Discover the power of AI and robotics with NVIDIA® Jetson Nano™ 2GB Developer Kit with a more economical price aiming to deliver the performance to run modern AI workloads using the entire GPU-accelerated NVIDIA software stack in a small form factor to even more educators, students, developers, & enthusiasts.
Learning by doing is key for anyone new to AI and robotics, and the Jetson Nano 2GB Developer Kit is ideal for hands-on teaching and learning. Unlike online-only learning, you’ll see your work on the developer kit perceive and interact with the world around you in real time. In addition to the free tutorials offered by NVIDIA, thousands of Jetson Nano developers actively contribute videos, how-tos, open-source projects, AI frameworks, and models for applications like image classification, object detection, segmentation, and speech processing. The developer kit can be powered by USB-C 5V 3A and comes with extensive I/Os, including GPIO, USB-A (3.0 & 2.0), USB-Micro-B, and CSI-2 camera connector. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications from introductory “Hello AI World,” to robotics projects such as the open-source NVIDIA JetBot AI robot platform.
All these resources are enabled by NVIDIA JetPack™, which brings to each Jetson developer the same CUDA-XTM software and tools used by professionals around the world. JetPack includes a familiar Linux environment and simplifies the development process with support for cloud-native technologies such as containerization and orchestration. There’s no better way to start. 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.
Based on 1 ratings:
I got the nano to do a poc for a work project. When I plugged it in I couldn’t get any life signs. I looked online and heard people discussing the barrel jack and a jumper, neither of which my board had so I assumed I had a bad board. I contacted sparkfun and they sent me a shipping label to return the board for replacement. While waiting for the label to arrive in my email I found out from a colleague that you have to use the usb-c cable to power the board. Nothing I found on the forums covered this. At least the ones I visited. Anyway, it’s up and running and I am really surprised how easy the nvidia library’s and tutorials are to get things started. So far it’s been a great experience and I am learning a ton. Couldn’t be happier. 4 stars because there is no official manual in the box and I spent days trying to figure out the power issue.