In both cases this is a prime opportunity for anyone to disrupt Nvidia. They are in this market position in large part because both video games and neural networks do a lot of highly parallel floating point math, especially matrix multiplication. This model architecture doesn't do any of that.

Of course it should be fairly simple for Nvidia to add special silicon and instructions for two-bit addition to a future generation of their cards. But it'll take a while because they already have a roadmap and preexisting commitments. And any competitor doesn't have to copy everything Nvidia does to make floating point numbers go fast, they can just focus on making two-bit data handling and addition go fast.