NV hardware with dedicated AI starts with Xavier, with the NX having 21 TOPs at $399 and 32 TOPs for the AGX at $699... that might leave a space for Google Edge TPUs.
* The Nano's 0.5 TFLOP of CUDA is insufficient; AND
* Google's 4 TOP of DL performance IS sufficient; BUT
* You're not bottlenecked by things like USB2; AND
* You can't afford a higher-end Jetson with dedicated ML
Well, let me just say I can't think of one on things I've actually done. I could come up with ones in abstract, but it seems like Google is aiming for 1% of the market at best. With 1% of the market, NVidia will win on community, tooling, R&D budget for v2, etc., so in the end, that means 0.1% of the market.
And that's if the two businesses were starting on even footing. They're not. Google has a horrible reputation for leaving customers high-and-dry, while NVidia's reputation is pretty good for B2B. Even if the boards were equivalent, most would pick NVidia based on that alone. Plus, NVidia is coming in with established users; they have a first-comer advantaged.
Getting late to the game with a generally inferior product with backing from a less reliable company? It seems like a loser to me.
Seems like a total loser compared to the NVidia Jetson line. It does have a few more TOPs than the Nano, I guess? And it costs a bit less than the Xavier series?