While a completely different price point, I have a Jetson Orin Nano. Some people forget the kernels are more or less set in stone for product like these. I could rebuild my own Jetpack kernel but it’s not that straight forward to update something like CUDA or any other module. Unless you’re a business where your product relies on this hardware, I find it hard to buy this for consumer applications.
Came in here to say the same thing. Have bought 3 Nvidia dev boards and never again as you quickly get left behind. You're then stuck compiling everything from scratch.
My experience with Jetson Nano was that it had to have its Ubuntu debloatred first (with 3rd party script) before we could get their NN something library to run the image recognition, designated to run on this device.
These seem to be highly experimental boards, even though are super powerful for their form factor.
That’s true for the Jetson Nano. The Jetson Orin Nano (I know, the naming sucks) is much better in that aspect. Higher memory (8GB), way higher memory bandwidth (120 GB/s), and Orin has way more CUDA cores. It can pretty much run any “traditional” neural network, even YOLO large and even LLMs.
