Earlier quoted context omitted.
This has happened before and it will probably go the same way. Software and compilers will make up the difference, or hardware will become so cheap and ubiquitous it wont super matter. In 3-5 years what will a 10% performance difference matter to you? Then calculate how much that 10% performance difference is going to cost in real dollars to run on nvidia hw and then the fun math should start.
Performance for GPUs isn't just speed, but also power efficiency. The complexity of GPUs doesn't lend itself to just being solved with better tooling. They are also not going to get cheaper... especially the high end ones with tons of HBM3 memory. Given that data centers only have so much power and AI really needs to be in the same data center as the data, if you can squeeze out a bit more power efficiency so you can…
I suspect a lot of AI inference (thought probably not the majority) will happen on mobile devices in the future. There power is also at a premium, and less fungible with money.