Teslas are already consumer items that rock massive batteries. My 25 count is off. It's probably closer to 75 GPUs right now. Let's say today's models are run

Teslas are already consumer items that rock massive batteries. My 25 count is off. It's probably closer to 75 GPUs right now. Let's say today's models are running vanilla transformers via pytorch without any of Deepmind's Flamingo QKV optimizations. In 10 years algorithmic optimizations, and ML platform improvements push that efficiency up 3-5 fold. We're down in the ballpark of 25 GPUs (again) Now, we ditch the general purpose GPUs entirely and go for specially built AI inference chip. The year is 2033 and specialty inference chips are better and more widespread. Jettison those ray tracing cores, and computer rendering stuff. Another 3x improvement and we're at ~8 GPUs Now you said the 4090 is about 3.5x faster than the 780 from a decade ago. We are now on the order of 2 chips to run inference. These models won't just be running in Teslas, they will be running in agricultural vehicles, military vehicles, and eventually robot baristas.