I have a Jetson Nano and can confirm that Mycroft runs on it, but Mycroft does not utilize the GPU/CUDA cores out of the box. The CPU is a ARM Cortex-57 which is better/faster than the Cortex-53 of the RPI3. Overall the performance Mycroft running on the Jetson Nano is a bit better, but the 4GB RAM help a bit performance wise as well.
One pain point is that the Jetson Nano is aarchlinux/arm64 architecture where you sometimes have trouble finding pre-built software packages (apt an pypi). So exspect to be building packages yourself from scratch or not being able to use some pieces of software at all.
Right now i am testing different STT and TTS systems on the Nano.
For STT i got Kaldi, Zamia (based on Kaldi) and Mozilla Deepspeech running. While performance is o.k. for most of them, the quality of the pre-trained models provided is still bad, e.g. a phrase like “turn off the light” sometimes needs five attempts until the system got it right.
On the TTS side I got Tacotron, Tacotron2 and WaveRNN in different flavors running. Again the pre-trained models differ in quality and there is the trade-off between quality and performance, e.g. the very good sounding WaveRNN models require more than 10 seconds of processing for one second of audio.