powers of four

EPD-enabled cloud computing. yt could probably run on this with a bit of effort, but the data passage would be intense. Depending on the backend, it could actually be extremely easy to store select datasets (in the several to many gigabyte range) on the cloud and dispatch yt analysis jobs there. For instance, the big Santa Fe Light Cone dataset is about 35 gigs a timestep. Amazon charges $0.15 per gig for storage, so dumping it up there would not be prohibitively expensive. Toss a yt job up there to analyze it, and it would be done. This is exciting.