Yep! Companies in the GPU Open Analytics initiative like Conda (dask, conda), MapD, Ursa Labs (Arrow, Pandas), BlazingDB, and ourselves (Graphistry!) are making

Yep! Companies in the GPU Open Analytics initiative like Conda (dask, conda), MapD, Ursa Labs (Arrow, Pandas), BlazingDB, and ourselves (Graphistry!) are making a full ecosystem of GPU analytics, similar to what happened with Hadoop for the last 10-15 years. There is little point for all of us to keep reimplementing basic things like in-GPU database scans (PyGDF), and we want fast interop for ecosystem composition / network effects (GPU take on Arrow). Members are contributing pieces we believe are / should be commodity for the GPU wave to get here faster and bigger. The RAPIDS team has been really stepping up here -- PyGDF, and various bindings & IO helpers -- and collaborating with many of us to get them right. Another member was intending to share as the open compute core, but was insufficiently open (kept multigpu proprietary?), and had little uptake, so Nvidia stepped up with RAPIDS. The result is a more neutral solution, and already with demonstrated framework dev uptake uptake. And hopefully, more GPU compute everywhere, faster :)