@nvidia just dropped Jetson Orin Nano 2 and
@maticrobots are adopting it.
Most teams would opt for more compute given the complexity of their autonomy stack.
@mehul even said they're going to get their voice-command running fully onboard.
Great example of a team that invests into squeezing all the model perf you can get from your onboard compute.
Definitely a competitive advantage given their market and scale, especially with this memory/price crunch.
More Physical AI co's could learn from them!