MapD tries to cache compressed versions of the "hot" columns of a table in GPU RAM, which could be up to 256GB per node across 8 GPUs. If necessary though it c

MapD tries to cache compressed versions of the "hot" columns of a table in GPU RAM, which could be up to 256GB per node across 8 GPUs. If necessary though it can stream the data from CPU RAM - of course such queries won't be as fast. Yes you could imagine accelerating index lookups with GPUs (I think there's some research papers on this subject already) - maybe a future project for us.