It can achieve > 90 percent of the computing tasks on the planet, outside of datacenters, smartphones, and PCs. But IMHO the price is the sticking point becaus

It can achieve > 90 percent of the computing tasks on the planet, outside of datacenters, smartphones, and PCs. But IMHO the price is the sticking point because nearly the same can be said of an a esp32-s2 (riscV) and it has better peripherals, built in WiFi and Bluetooth, and sells for <$2 soldered on a dev board. I think the fit here is for edge-AI. The asynchronous multiprocessing might actually be a winner here, since you could run your time-unpredictable algorithms on the Linux core and run your real-time needs on an ratos or bare metal on the other core… so kinda like a 2 in one device? Still not sure if that tracks for most cases though since a discrete RTOS/Bare metal core is about 0.5usd to solder next to your application processor. I think something around this price point with a strong TPU integrated might make sense, especially since it seems to compare favourably with the kendryte k210 which has proven very popular in edge-AI image processing. The question here is whether or not the vector unit will compare well with the NPU on the K210 or not, and whether the power budget is good enough for battery powered devices.