that's not embedded dev. if you
1. use underpowered devices to perform sophisticated tasks
2. using code/tools that operate at extremely high levels of "abstraction"
don't be surprised when all the inherent complexity is tamed using just more layers of "abstraction". if that becomes a problem for your cost/power/space budget then reconsider choice 1 or choice 2.
yes and in those instances you do not reach for pytorch/tensorflow on top of ubuntu on top of x86 with a discrete gpu and 32gb of ram. instead you reach for C and micro or some arm soc that supports baremetal or at most rtos. that's embedded dev.
so i'll repeat myself: if you want to run extremely high-level code then don't be "surprised pikachu" when your underpowered platform, that you chose due to concrete, tight budgets doesn't work out.
However, containers or Ubuntu Linux don’t perform great in that environment. Ubuntu is for desktops, containers are for cloud data centers. An offline stand-alone device is different. BTW, end users don’t typically aware that thing is a computer at all.
Personally, I usually pick Alpine or Debian Linux for similar use cases, bare metal i.e. without any containers.
