Not sure if these are silly questions or not, but would it technically be possible to link say 10 Xavier NXs together to almost act as one more powerful GPU? It would be cool to have distributed NX nodes that could be used to train a computer vision dataset, rather than one single (point of failure) powerful computer.
Failing that, could an individual NX take an existing working yolov4 model and use transfer learning to potentially improve this model incrementally with say 100 new annotated images captured per day? Ie during 12 hours downtime overnight, the NX uses this time to become more accurate with more training data.