[deepnotderp]

The last paragraph is the gist of the opportunity. "The party isn't over yet, but the cops have been called and the music has been turned down". Dennard scaling has already slowed, and Intel recently (famously?) stumbled on 10nm.

For the record, many of the improvements we were able to squeeze out for deep learning has also lead us to create two new designs, one for a GPU and one for a CPU. Although we're focusing on the deep learning processor for now, the ultimate goal is to develop all three and put them on a SoC. This is too ambitious in our current stage, and so we're focusing on the deep learning processor.

[CMay]

Being that a performant and efficient GPU is appealing to a lot of existing systems, if y'all can get that far and be competitive with it then that would be an interesting development.

Phones are pretty homogeneous right now with only a couple real competitive hardware solutions implemented, but if Windows 10 proper can really make the transition to phones then we may see an explosion of increased processing demands of those devices over the next 7 years.

Best of luck!

[deepnotderp]

Thanks!

Our primary problem is that GPUs tend to be the epitome of a bad initial market for startups to pursue, since they require large (very large) volumes and very large fixed costs. If you happen to have a better business model to get into the GPU market, drop me a line :)