This look really compelling for cases where a robot isn't big or stationary enough to just use an industrial PC. I'm really looking forward to seeing how NVIdia's newest iteration on Transmeta's core does in benchmarks. From the Wikichip Spec results[1] and quick Phoronix tests[2] it doesn't seem too far off from an Intel chip clocked down to a similar speed. The whole approach of JITing form x86 or ARM instructions to an exposed pipeline VLIW design is just a really interesting one. For the last generation that was used in the Nexus 6 it did very well in areas that VLIWs are traditionally good at like audio processing and did sort of mediocre in areas where VLIW tends to be bad. A JIT running underneath the OS has the freedom, in theory, to add things like memory speculation across library calls that an OoO processor could do. But the software to do that is, of course, really hard to write. I hope it's improved in the years since the Nexus 9 came out.

[1] https://en.wikichip.org/wiki/nvidia/microarchitectures/carme...

[2]https://www.phoronix.com/scan.php?page=article&item=nvidia-c...