GPU databases are a more recent development that came with the growth of Graphics Processing Unit cards for data science related tasks, such as machine learning. GPUs work best when the query can be parallelized. This is due to the fact that GPUs contain thousands of cores. By delegating each core to work on a small subset of the data, a GPU can often calculate at an impressively fast rate that far exceeds the CPU-based query performance.