The Tesla computer is able to handle more than 2,000 frames per second of video from the car's onboard computers. It does that by bypassing the GPU or CPU that traditional AI hardware uses, instead running computations in the bare silicon itself. The neural networks that drive Tesla's autonomous car capabilities essentially do a vast number of incredibly simple calculations on matrices; by moving those to bare metal, the speed increases are substantial.
That also gives Tesla a meaningful advantage over competitors.
When silicon rubber hits the tarmac mere car manufactures may rue the day.
This deep integration of hardware and software is exactly what enables Apple to consistently generate better performance than rivals on in-house chips despite similar (or in some cases slower) clock speeds. And it shouldn't be surprising that Telsa is following a similar approach: Tesla's Bannon is the guy who built the team that designed Apple's first 64-bit ARM processor.