I'm actually thinking Adapteva has a lot of future in present areas of growth.

1) On the mobile side, you can have Epiphany, their compute fabric, as a unit directly on the mobile SoC. You can do codec offload, like WebP, WebM, SILK/Opus. You can do basic computer vision for augmented reality applications, or image recognition. Or perhaps physics, integrate gyro output, position the device in absolute three space. I dunno, the point is the compute is open, there for exploitation. It's not like OpenCL where I have to beg the drivers to be available, correct, or performant. Nor is it like Qualcomm's Hexagon, where who knows if I can use it, and I sure as hell won't without signing an NDA.

2) As far as cloud and heterogenous compute goes, again I see an embedded Epiphany being useful. Everybody whines about various things, like for example missing double-precision. Firstly, it's not like the architecture can't be extended in future. But more importantly they miss little details. Each node in Epiphany can branch and do integer. You can see it doing wire-speed protobuff de/coding and other parallel data shuffling of long-living data, that could be compressed, or interleaved somehow.

I'm more of a low-power, cloud kind of guy. So that's what I'll be playing with the most when I get my hands on the kit. That and maybe some parallel graph rewriting. Who knows, the sky's the limit.