'tachyonbeam didn't ask.
The most obvious one is AI. These things are incredibly parallel & entirely self-contained, and a consumer desktop PSU could power countless amounts of them without a second thought. At $2,000 for 100 chips ($20/chip), you can start to do some really interesting stuff for the cost of a consumer laptop.
It's natural that AI is a problem this chip excels at, given Moore studied under McCarthy and all.
If you feel morally okay with playing with proprietary software, I really recommend playing a little bit with the simulator of the chip. Given what's intuitive with one or two, you'll probably be able to see the possibilities much better after an hour or so of play.
> The most obvious one is AI.
I seriously doubt that. The cores on that chip are extremely memory-limited: 72 bytes per core, that's about 10 kiB per Chip! And if you want to access SDRAM, you need an external SDRAM controller and bit-bang it. Gee, I wonder what that does to throughput and latency...
This chip's competition isn't GPUs and AI engines, but very low-cost, low-performance FPGAs, and it would probably lose. Given the extremely constrained environment of the individual cores (no cache, extremely little memory, a stack-based architecture), FPGAs are probably even easier to program.
There are no commercial applications, it's a toy.