RPI vs Jetson nano

Make it sense to use a Jetson Nano for DonkeyCar ?

Are there any performance measurements RPI vs Jetson Nano available ?

Short answer: Yes !!

Longer answer:

One of the reasons why the Jetson Nano is very exciting for us is that it has a lot more headroom for inference. Right now we can do 20fps for inference if we use a Raspberry Pi 3B+ class device.

However, having experimented with deeper neural nets - this will be a bottleneck (inference happens on the CPU for the Pi). The Jetson Nano has 128 CUDA cores, which allows us to do so much more.

Keep in mind:

  • It’s early days with the Jetson Nano.
    So the level of support for the Nano is not as mature as the RPi 3.
  • You should be a little bit familiar with the donkey source. You will probably have to make tweaks for your setup until we standardize things for the Jetson Nano.
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New RPI4 is out.

I’m very interested in new performance benchmarks.

RPI4 vs Nano

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One issue with Nano I’ve run into is that the generic raspberry pi camera are not compatible with Nano. You must use the newer v2 camera. I’ve not found a cheap source for a v2 camera with wide angle lens. (There are some options available, but they’re close to $60 USD for camera + wide lens)

If somebody has found a Nano Compatible pi camera with wide lens that can be purchased < $25 USD, please let me know.