It really depends of your definition of terms. What do you call "performance optimized"? For example I consider glyph drawing as "performance optimized". It re

It really depends of your definition of terms. What do you call "performance optimized"? For example I consider glyph drawing as "performance optimized". It requires massive parallelism just to be able to display text smoothly in a high definition screen. But most people will never see it, because they use a library that they call that does all the work for them and do not need to care about that. The difference is tremendous. We are talking 100x more efficiency just using GPUs alone. You can get 1000x, 10.000x with hardware(electronic chip design) acceleration parallelism(increasing the cost and rigidity, and times to market too). It is so big that it is a different level. It is not performance alone. It is that some things are so inefficient that are just not practical(like expending a million dollars in your energy bill in order to solve a problem). Same happens with of course 3D, audio or video recognition. Sensor I/O. Artificial intelligence. Rust lets you just prototype lots of code in a parallel way in the CPU, even for things that will run in a FPGA or ASIC in the future. It let's you transition smaller steps: CPU->GPU->FPGA->ASIC